- Get access to the complete digital library of LJMU to research & write your dissertation
- Complete all courses to achieve this prestigious M.Sc. Degree from LJMU, UK to jump-start your career in Data Science
- Earn a Master's degree which is recognized by WES, at 1/10th the cost of an offline program
- Home
- Data Science and Analytics
- Master of Science in Data Science
Master of Science in Data Science
Go the extra mile to become a data-driven leader. Learn from a world-class curriculum developed by leading faculty & Industry experts to earn a globally recognized Master of Science in Data Science from Liverpool John Moores University.-
TypeMasters
-
Start DateDecember 31, 2024
-
Duration18-20 Months
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About LJMU's Masters In Data Science Program
Course Snapshot
-
5
Unique Specializations
-
14+
Case Studies and Projects
-
500+
Hours of Learning
- Complimentary Python Programming Bootcamp
- WES recognised Masters Degree in Data Science
- Fortnightly Group Mentorship Sessions with Industry Experts
- IIIT Bangalore & LJMU Alumni Status
- World Class Faculty from IIITB and LJMU
What is this course about?
Key Highlights
- Complimentary Python Programming Bootcamp
- Weekly Live Sessions with Industry Experts & Faculty
- Fortnightly Group Mentorship with Industry Mentors
- Global Networking Opportunities
- 1 week LJMU on campus visit**
- Career Essential Soft Skills
- High Performance Coaching (1:1)
5 Unique Specializations to choose from
- Deep Learning
- Natural Language Processing
- Business Intelligence / Data Analytics
- Business Analytics
- Data Engineering
Top Subjects You Will Learn
- Statistics, Predictive Analytics, Exploratory Data Analysis
- Machine Learning, Deep Learning
- Data Visualization, Big Data Analytics, Data Engineering
- Python, Tableau, MySQL, Advanced Excel etc.
The program prepares you for several in-demand data roles
- Data Analyst, Sr. Data Analyst, Data Scientist, Sr. Data Scientist
- Product Analyst, Business Analyst, Finance Analyst, Operations Analyst, Marketing Analyst, Risk Analyst, HR Analyst, Data Driven Managers
- Data Engineer, Machine Learning Engineer
Target Audience
- Individuals with technical backgrounds.
- Software Engineers, System Analysts, Database Administrators seeking advanced analytics.
- Data Analysts, Data Scientists, ML Engineers who aspire to grow in their respective professions.
- Sales Professionals, IT Engineers, Product Managers, and other non-technical individuals aspiring to make a career in data science or grow in the same field.
Student Support
- A dedicated program coordinator
- 24/7 support to answer all your queries! intstudentsupport@upgrad.com
- Centralised WhatsApp channels for queries
Programming Languages and Tools Covered
About LJMU's Master's In Data Science Program
The New Learning Experience
About the programme
5 Unique Specializations
Choose any one of 5 in-demand specialisations to pursue as per your career aspirations in this Master of Science in Data Science Program form Liverpool John Moores University.
Choose any one of 5 in-demand specialisations to pursue as per your career aspirations in this Master of Science in Data Science Program form Liverpool John Moores University.
Read MoreDedicated Career Assistance
Be one step ahead with access to 1:1 career counseling sessions and mock interviews with hiring managers.
Be one step ahead with access to 1:1 career counseling sessions and mock interviews with hiring managers.
Read MoreStudent Support
Get access to dedicated student support by writing to us at studentsupport@upgrad.com or by using the "talk to us" option on our learning platform for urgent queries.
Get access to dedicated student support by writing to us at studentsupport@upgrad.com or by using the "talk to us" option on our learning platform for urgent queries.
Read MoreCraft Your Path to Data Science Mastery
Practical Application
- Apply data science and machine learning principles
- Focus on real-life data, business analytics, and NLP situations
Research Thesis
- Select a topic and dataset
- Review relevant literature
- Implement research methods and technical writing skills
Technical Research Writing
- Learners develop skills in research methodology and technical documentation
- Structured writing techniques ensure clarity and precision in reports
Final Presentation
- Present the final thesis
- Earn the LJMU Masters in Data Science qualification
Earn valuable Credentials & Recognition
Finish your course to obtain a WES recognised MS in Data Science degree from Liverpool John Moores University
Master of Science in Data Science
- Get access to the complete digital library of LJMU to research & write your dissertation
- Complete all courses to achieve this prestigious M.Sc. Degree from LJMU, UK to jump-start your career in Data Science
- Earn a Master's degree which is recognized by WES, at 1/10th the cost of an offline program
Explore Our Learning Platform
Learn on an AI-powered & personalised platform with best-in-class
content, live sessions & mentoring from leading industry experts.
What will you learn?
Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions
Course 1 - Data Toolkit
- 13 weeks
Topics (7)
- Programming in Python
- Introduction to Python
- Python for Data Science
- Data Visualization in Python
- Exploratory Data Analysis
- Credit EDA Case Study
- Inferential Statistics
Course 2: Machine Learning - I
- 10 Weeks
Topics (10)
- Linear Regression - I
- Linear Regression - II + Gradient Descent for SLR
- Linear Regression Assignment
- Logistic Regression - I
- Logistic Regression - II
- Classification using Decision Trees
- Unsupervised Learning: Clustering
- Basics of NLP and Lexical Processing
- Business Problem Solving + Intro to GIT and GITHUB
- Case Study: Lead Scoring
Specialisation 1: Data Analytics
- 29 Weeks
Topics (18)
- Data Modelling
- Advanced SQL Programming
- Introduction to Cloud and AWS
- Analytics at Large Scale in Spark - I
- Analytics at Large Scale in Spark - II
- Big Data Case Study
- Basic Viz. using Tableau
- Advanced Excel
- Data Analysis and Visualisation in PowerBI
- Analytical Thinking and Structured Problem Solving using Frameworks
- Data Storytelling
- Airbnb Case Study
- Data Structures and Algorithms
- Searching & Sorting
- Algorithm Analysis and Recursion
- Advanced Database Programming using Pandas
- SQL & Python Lab
- Capstone
Specialisation 2: Business Analytics
- 29 Weeks
Topics (16)
- Bagging & Random Forests
- Model Selection - I
- Model Selection - II
- Time Series Forecasting - I
- Time Series Forecasting - II
- Model Selection Case Study
- Basic Viz. using Tableau
- Advanced Excel
- Data Analysis and Visualisation in PowerBI
- Analytical Thinking and Structured Problem Solving using Frameworks
- Data Storytelling
- Airbnb Case Study
- Product Development using OpenAI APIs, Fine Tuning using STaR technique in Python
- Integrating speech using Whisper API and application deployment using Flask
- Interview Gynie AI: Chatbot Development Project
- Capstone
Specialization 3: Deep Learning
- 29 Weeks
Topics (16)
- Bagging & Random Forest
- Boosting
- Model Selection
- Principal Component Analysis
- Advanced Regression + Time Series Forecasting (Optional)
- Advanced ML case Study
- Introduction to Neural Networks and ANN
- Backpropogation & Hyperparameter Tuning in Neural Networks
- Introduction to Convolutional Neural Networks
- CNN Architectures and Industry Applications + Recurrent Neural Networks (Optional)
- Applications of DL in CV: Object Detection Image Segmentation (Optional)
- Gesture Recognition Case Study
- Product Development using OpenAI APIs, Fine Tuning using STaR technique in Python
- Integrating speech using Whisper API and application deployment using Flask
- Interview Gynie AI: Chatbot Development Project
- Capstone
Specialisation 4: Natural Language Processing
- 29 Weeks
Topics (16)
- Bagging & Random Forests
- Model Selection - I
- Model Selection - II
- Time Series Forecasting - I
- Time Series Forecasting - II
- Model Selection Case Study
- Basic Viz. using Tableau
- Advanced Excel
- Data Analysis and Visualisation in PowerBI
- Analytical Thinking and Structured Problem Solving using Frameworks
- Data Storytelling
- Airbnb Case Study
- Product Development using OpenAI APIs, Fine Tuning using STaR technique in Python
- Integrating speech using Whisper API and application deployment using Flask
- Interview Gynie AI: Chatbot Development Project
- Capstone
Specialisation 5: Data Engineering
- 29 Weeks
Topics (16)
- Data Management and Relational Database Modelling
- Introduction to Cloud and AWS Setup
- Introduction to Hadoop and MapReduce Programming
- NoSQL Databases and Apache HBase
- Data Ingestion with Apache Sqoop and Apache Flume
- Map reduce Programming Assignment
- Hive and Quering + Optional Assignment
- Introduction to Apache Spark+ Optional Assignment
- Amazon Redshift
- ETL Project
- Optimizing Spark for Large scale processing
- Real-Time Data Streaming with Apache Kafka
- Building Automated Data Pipelines with Airflow
- Analytics using PySpark+ Optional Assignment
- Retail Project
- Capstone
Research Methodologies
- 10 Weeks
Topics (6)
- Introduction to Research and Research Process
- Research Design
- Literature Reviewing
- Research Project Management
- Report Writing and Presentation Skills
- Scientific Ethics
Master's Dissertation
- 14 Weeks
Topics (6)
- Investigate a diagnosis of eye diseases using imaging ophthalmic data
- Structure medical images with information geometry
- Using Social media feed to place tweets regarding natural disasters on a map
- Preventing credit card fraud through pattern recognition
- Developing a recommender system for a Media giant
- Risk modelling for Financial activities and Investment Banking
Customize your Learning
Select a specialisation that aligns with your interests and career goals
Data Analytics
- 29 Weeks
Topics (18)
- Data Modelling
- Advanced SQL Programming
- Introduction to Cloud and AWS
- Analytics at Large Scale in Spark - I
- Analytics at Large Scale in Spark - II
- Big Data Case Study
- Basic Viz. using Tableau
- Advanced Excel
- Data Analysis and Visualisation in PowerBI
- Analytical Thinking and Structured Problem Solving using Frameworks
- Data Storytelling
- Airbnb Case Study
- Data Structures and Algorithms
- Searching & Sorting
- Algorithm Analysis and Recursion
- Advanced Database Programming using Pandas
- SQL & Python Lab
- Capstone
Business Analytics
- 29 Weeks
Topics (16)
- Bagging & Random Forests
- Model Selection - I
- Model Selection - II
- Time Series Forecasting - I
- Time Series Forecasting - II
- Model Selection Case Study
- Basic Viz. using Tableau
- Advanced Excel
- Data Analysis and Visualisation in PowerBI
- Analytical Thinking and Structured Problem Solving using Frameworks
- Data Storytelling
- Airbnb Case Study
- Product Development using OpenAI APIs, Fine Tuning using STaR technique in Python
- Integrating speech using Whisper API and application deployment using Flask
- Interview Gynie AI: Chatbot Development Project
- Capstone
Deep Learning
- 29 Weeks
Topics (16)
- Bagging & Random Forest
- Boosting
- Model Selection
- PCA
- Advanced Regression + Time Series Forecasting (Optional)
- Advanced ML Case Study
- Introduction to Neural Networks and ANN
- Backpropogation & Hyperparameter Tuning in Neural Networks
- Introduction to Convolutional Neural Networks
- CNN Architectures and Industry Applications + Recurrent Neural Networks (Optional)
- Applications of DL in CV: Object Detection Image Segmentation (Optional)
- Gesture Recognition Case Study
- Product Development using OpenAI APIs, Fine Tuning using STaR technique in Python
- Integrating speech using Whisper API and application deployment using Flask
- Interview Gynie AI: Chatbot Development Project
- Capstone
Natural Language Processing
- 29 Weeks
Topics (16)
- Bagging & Random Forests
- Model Selection - I
- Model Selection - II
- Time Series Forecasting - I
- Time Series Forecasting - II
- Model Selection Case Study
- Basic Viz. using Tableau
- Advanced Excel
- Data Analysis and Visualisation in PowerBI
- Analytical Thinking and Structured Problem Solving using Frameworks
- Data Storytelling
- Airbnb Case Study
- Product Development using OpenAI APIs, Fine Tuning using STaR technique in Python
- Integrating speech using Whisper API and application deployment using Flask
- Interview Gynie AI: Chatbot Development Project
- Capstone
Data Engineering
- 29 Weeks
Topics (16)
- Data Management and Relational Database Modelling
- Introduction to Cloud and AWS Setup
- Introduction to Hadoop and MapReduce Programming
- NoSQL Databases and Apache HBase
- Data Ingestion with Apache Sqoop and Apache Flume
- MapReduce Programming Assignment
- Hive and Quering + Optional Assignment
- Introduction to Apache Spark+ Optional Assignment
- Amazon Redshift
- ETL Project
- Optimizing Spark for Large scale processing
- Real-Time Data Streaming with Apache Kafka
- Building Automated Data Pipelines with Airflow
- Analytics using PySpark+ Optional Assignment
- Retail Project
- Capstone
Masters In Science In Data Science Instructors
Whom will you learn from?
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5 Instructors
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9 Industry Experts
Prof. Dhiya Al-Jumeily
- Professor - Artificial Intelligence
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A gold medallist from IIM Bangalore, an alumnus of IIT Madras and London Business School, Anand is among the top 10 data scientists in India.
A gold medallist from IIM Bangalore, an alumnus of IIT Madras and London Business School, Anand is among the top 10 data scientists in India.
Read More
Chandrashekar Ramanathan
- Dean - Academics
-
Prof. Chandrashekar has a Ph.D. from Mississippi State University and experience of over 10 years in several multinational organizations.
Prof. Chandrashekar has a Ph.D. from Mississippi State University and experience of over 10 years in several multinational organizations.
Read More
Tricha Anjali
- Ex-associate Dean
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Prof. Anjali has a Ph.D. from Georgia Tech as well as an integrated M.Tech. (EE) from IIT Bombay.
Prof. Anjali has a Ph.D. from Georgia Tech as well as an integrated M.Tech. (EE) from IIT Bombay.
Read More
Dr. Debabrata Das
- Director, IIITB
-
Dr. Debabrata Das is the Director of IIITB. He has received his Ph.D. from IIT-KGP. His main areas of research are IoT and Wireless Access Network.
Dr. Debabrata Das is the Director of IIITB. He has received his Ph.D. from IIT-KGP. His main areas of research are IoT and Wireless Access Network.
Read More
Prof. G. Srinivasaraghavan
- Professor
-
Prof. Srinivasaraghavan has a Ph.D. in Computer Science from IIT Kanpur and 18 years of experience with Infosys Technologies.
Prof. Srinivasaraghavan has a Ph.D. in Computer Science from IIT Kanpur and 18 years of experience with Infosys Technologies.
Read More
S. Anand
- CEO
-
A gold medalist from IIM Bangalore, an alumnus of IIT Madras and London Business School, Anand is among the top 10 data scientists in India.
A gold medalist from IIM Bangalore, an alumnus of IIT Madras and London Business School, Anand is among the top 10 data scientists in India.
Read More
Mirza Rahim Baig
- Lead Analyst
-
Advanced analytics professional with 8+ years of experience as a consultant in the e-commerce and healthcare domains.
Advanced analytics professional with 8+ years of experience as a consultant in the e-commerce and healthcare domains.
Read More
Sajan Kedia
- Ex-Data Science Lead
-
Sajan graduated from IIT, BHU and has tons of experience in Data Science, Big Data, Spark, Machine Learning and Natural Language Processing
Sajan graduated from IIT, BHU and has tons of experience in Data Science, Big Data, Spark, Machine Learning and Natural Language Processing
Read More
Rajesh Sabapathy
- Sr Director, Data Science
-
Rajesh has 10+ years of experience leading Data Science teams in various domains solving complex problems using Deep Learning & ML technique
Rajesh has 10+ years of experience leading Data Science teams in various domains solving complex problems using Deep Learning & ML technique
Read More
Kautuk Pandey
- Lead Data Engineer
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Kautuk has 10+ years of experience working in Data Science. He is a seasoned professional in Big Data, AWS, Pyspark and other technologies
Kautuk has 10+ years of experience working in Data Science. He is a seasoned professional in Big Data, AWS, Pyspark and other technologies
Read More
Ujjyaini Mitra
- Head of Analytics
-
An alumnus of McKinsey and Co, Flipkart and Bharati Airtel with over 11 years of experience
An alumnus of McKinsey and Co, Flipkart and Bharati Airtel with over 11 years of experience
Read More
Ankit Jain
- ML Engineering Manager
-
An alumnus of IIT Bombay, UCB, and HBS with over 9 years of experience. Ankit has been recognised as 40Under40 Data Scientist for 2022
An alumnus of IIT Bombay, UCB, and HBS with over 9 years of experience. Ankit has been recognised as 40Under40 Data Scientist for 2022
Read More
Anshuman Gupta
- Director, Data Science
-
He has a Ph.D (Dual) from Penn State University as well as a B.Tech. Degree from IIT Bombay
He has a Ph.D (Dual) from Penn State University as well as a B.Tech. Degree from IIT Bombay
Read More
Bijoy Kumar Khandelwal
- COO, Actify
-
Bijoy comes with a deep understanding of the private and cloud architectures and has helped numerous companies make the transition
Bijoy comes with a deep understanding of the private and cloud architectures and has helped numerous companies make the transition
Read More
Learn by Doing
Learn from leading Data Science faculty and industry leaders in this Masters (MS) in Data Science
-
10+ Industry projects to choose from
Credit EDA Assignment
Skills learned
- Data Cleaning
- Data Visualisation
- Data Analysis
- Data Interpretation
RSVP Case Study
Skills learned
- MySQL
- MySQL Queries
- Data Manipulation
- Data Analysis
Bike Sharing Assignment
Skills learned
- Linear Regression
- ML Modelling
- Model Evaluation
Lead Scoring Case Study
In this case study, the company requires you to build a machine learning classification model which will be able to use demographical and behavioural data of potential buyers, to identify the ones most likely to convert.
In this case study, the company requires you to build a machine learning classification model which will be able to use demographical and behavioural data of potential buyers, to identify the ones most likely to convert.
Skills learned
- Logistic Regression
- Decision Trees
- Classification
- ML Modelling
- Model Evaluation
- Business Problem Solving
Model Selection Case Study -Telecom Churn
Telecom companies often face the problem of churning customers due to the competitive nature of the industry. Help a telecom company identify customers that are likely to churn and make data-driven strategies to retain them from the perspective of a business analyst.
Telecom companies often face the problem of churning customers due to the competitive nature of the industry. Help a telecom company identify customers that are likely to churn and make data-driven strategies to retain them from the perspective of a business analyst.
Skills learned
- Logistic Regression
- Tree Models
- Model Selection
- Feature Engineering
- Classification
- ML Modelling
- Model Evaluation
- Business Problem Solving
Advanced ML Case Study - Telecom Churn
Telecom companies often face the problem of churning customers due to the competitive nature of the industry. Help a telecom company identify customers that are likely to churn and make data-driven strategies to retain them from the perspective of a data scientist.
Telecom companies often face the problem of churning customers due to the competitive nature of the industry. Help a telecom company identify customers that are likely to churn and make data-driven strategies to retain them from the perspective of a data scientist.
Skills learned
- Logistic Regression
- Tree Models
- Boosting
- Model Selection
- Regularization
- Feature Engineering
- Classification
- ML Modelling
- Model Evaluation
- Business Problem Solving
Syntactic Processing Assignment
Skills learned
- Natural Language Processing
- Lexical Processing, Regex
- POS Tagging
- Dependency Parsing
ETL Project
Skills learned
- AWS
- Sqoop
- Spark
- ETL Pipeline
IPL Visualization Assignment
Skills learned
- Tableau/Power BI
- Data Processing
- Data Visualisation
- Data Analysis
- Dashboarding
- Data Storytelling
Advanced Regression
Skills learned
- ML Modeling
- Linear Regression
- ML Model Evaluation
MapReduce Programming Assignment
Skills learned
- AWS
- Hadoop
- MapReduce
- Mrjob
- Apache HBase
- SQL
Data Science Program Class Profile
Master of Science in Data Science
Our program caters to professionals from diverse backgrounds, creating a vibrant classroom environment with enriching discussions and interactions.
By Industry
By Work Experience
By Highest Qualification
By Degree Type
By Age
By Gender
upGrad Alumni Work At
Data Science Course Learner Services
How will upGrad support you?
Access the various career development support services offered by
upGrad to help you achieve your professional goals.
-
Career Assistance
-
Practical Learning & Networking
AI Powered Profile Builder
-
Obtain specific, AI powered inputs on your resume and Linkedin structure along with content on real time basis
Interview Preparation
- Get access to Industry Experts and discuss any queries before your interview
- Career bootcamps to refresh your technical concepts and improve your soft skills
High Performance Coaching (1:1)
- Get a dedicated career coach after the program to help track your career goals, coach you on your profile, and support you during your career transition journey
Networking & Learning Experience
- Live Discussion forum for peer to peer doubt resolution monitored by technical experts
- Peer to peer networking opportunities with 10,000+ pool of alumni
- Lab walkthroughs of industry-driven projects
- Weekly real-time doubt clearing sessions
Industry Expert Guidance
- Interactive Live Sessions with leading industry experts covering curriculum + advanced topics
Student Support
- Chatbot
Program Fees: USD 6,500
*(Optional) 1-week LJMU campus visit at an additional USD 2000 or equivalent local currency.
How To Apply
The admissions process for Liverpool John Moore University's MS in Data Science is very easy, and can be done completely online
Bachelor’s Degree with minimum 50% or equivalent passing marks. No coding experience required.
Submit Your Application
Fill out an application giving your basic profile details
Fill out an application giving your basic profile details
Read MoreGive a selection test
Give a short 17 minutes aptitude test and get shortlisted
Give a short 17 minutes aptitude test and get shortlisted
Read MoreReserve your Seat & Begin the Prep Course
Reserve your seat by paying the deposit amount to enroll in the program. Begin your Prep course and start your Data Science journey!
Reserve your seat by paying the deposit amount to enroll in the program. Begin your Prep course and start your Data Science journey!
Read More
Refer someone you know and receive cash reimbursements of up to
!*
Data Science Program Success Stories
What Our Learners Say
Importance of upskilling to stay competitive in my industry.
The most noteworthy feature of UpGrad is its incredible staff. The program coordinators go above and beyond to support working professionals. They understand the unique challenges we face while balancing work and education. They were always available to help whenever I needed guidance and felt overwhelmed. Their dedication was absolutely crucial to my success, and I am deeply grateful for their tireless commitment to making this a positive and achievable learning experience.
The most noteworthy feature of UpGrad is its incredible staff. The program coordinators go above and beyond to support working professionals. They understand the unique challenges we face while balancing work and education. They were always available to help whenever I needed guidance and felt overwhelmed. Their dedication was absolutely crucial to my success, and I am deeply grateful for their tireless commitment to making this a positive and achievable learning experience.
Read MoreKunalsinh Chauhan
- Project Manager at Sensia Global- Schlumberger & Rockwell Automation JV
- 14 Years of Experience
To focus on personal and professional development, including opportunities for networking, leadership development, and career advancement.
I've been able to leverage my newfound expertise to contribute to key projects, lead teams, and drive positive outcomes in my role. During the journey of this MBA, I was promoted to my current new position. Further, I've had the opportunity to connect with like-minded professionals and industry experts. The knowledge, skills, and experiences gained through the program have not only accelerated my professional growth but have also enriched my life in profound ways
I've been able to leverage my newfound expertise to contribute to key projects, lead teams, and drive positive outcomes in my role. During the journey of this MBA, I was promoted to my current new position. Further, I've had the opportunity to connect with like-minded professionals and industry experts. The knowledge, skills, and experiences gained through the program have not only accelerated my professional growth but have also enriched my life in profound ways
Read MoreHussain Abbas Ali
- Senior Strategy Manager at Concept Combined Group
- 11 Years of Experience
Aspiration of learning business from its deep root.
It was a amazing experience. The course structure, SME guidance and explanation of theory related to real world business use case has bolstered confidence and understanding to become a great strategic leader. With online education I can continue with my job and apply the learning continuous during the course of time. They should atleast try some free courses at upgrad or take some small duration certification course with Upgrad, then see the difference it makes in professional life. Their collaboration with reputed universities, course structure and live sessions SME. Moreover their online platform is very much friendly and content are high quality. These are feedbacks I got it during my research before I joined upgrad. Best part of upgrad is their upgrad buddy. They are really like your support system to make your learning amazing. Higher management has started seeing my knowledge and business acumen. I have been involved in many strategic decision making process and got appreciation for my strategic analysis and valuable business inputs. Concept of blue Ocean strategy suggested by me to venture into new areas for business development has been greatly appreciated by leadership team. They guided me every step of my journey. If any additional mentorship, SME coaching, were needed, they provided me without any second thought.
It was a amazing experience. The course structure, SME guidance and explanation of theory related to real world business use case has bolstered confidence and understanding to become a great strategic leader. With online education I can continue with my job and apply the learning continuous during the course of time. They should atleast try some free courses at upgrad or take some small duration certification course with Upgrad, then see the difference it makes in professional life. Their collaboration with reputed universities, course structure and live sessions SME. Moreover their online platform is very much friendly and content are high quality. These are feedbacks I got it during my research before I joined upgrad. Best part of upgrad is their upgrad buddy. They are really like your support system to make your learning amazing. Higher management has started seeing my knowledge and business acumen. I have been involved in many strategic decision making process and got appreciation for my strategic analysis and valuable business inputs. Concept of blue Ocean strategy suggested by me to venture into new areas for business development has been greatly appreciated by leadership team. They guided me every step of my journey. If any additional mentorship, SME coaching, were needed, they provided me without any second thought.
Read MoreHimansu Das
- Solution Architect at Amdocs Inc
- 5 Years of Experience
Learning new business knowledge
Pleasant but time challenging. Better time management. Its worth it. Pricing. Learning a wide spectrum of knowledge.
Pleasant but time challenging. Better time management. Its worth it. Pricing. Learning a wide spectrum of knowledge.
Read MoreBrandon Tek
- Engineer Manager STA
- 20 Years of Experience
Frequently Asked Questions
1. What is the Master's in Data Science with upGrad?
The Master's degree is an engaging yet rigorous 18-20 months blended program designed specifically for working professionals to develop practical knowledge and skills, establish a professional network, and accelerate entry into data science careers. The certification is awarded by LJMU.
The Master's degree is an engaging yet rigorous 18-20 months blended program designed specifically for working professionals to develop practical knowledge and skills, establish a professional network, and accelerate entry into data science careers. The certification is awarded by LJMU.
2. What should I expect from the Master's Degree in Data Science?
Expect to carry out several industry-relevant projects simulated as per the actual workplace, making you a skilled data science professional at par with leading industry standards.
Expect to carry out several industry-relevant projects simulated as per the actual workplace, making you a skilled data science professional at par with leading industry standards.
3. What should I NOT expect from the Master's Degree in Data Science?
The program is NOT going to be easy. It will be requiring at least 15 hours of time commitment per week, applying new concepts and executing industry relevant projects.
The program is NOT going to be easy. It will be requiring at least 15 hours of time commitment per week, applying new concepts and executing industry relevant projects.
4. Which topics are going to be covered as part of the program?
The program is designed for working professionals looking for a transition or growth into the data domain. Considering the requirements of different data roles in the industry, the curriculum is divided into 5 specializations. These three specializations will have a common curriculum running for approximately 5-6 months that everyone will go through after which they have to do one specialization course and a capstone project in the remaining 6-7 months. The topics that are going to be covered as a part of the common curriculum and each of the five specializations are as follows:
Common Curriculum: Basics of SQL, Python, Statistics and EDA, Basic Machine Learning Models Deep Learning Specialization: Advanced Machine Learning, Neural Networks
Natural Language Processing Specialization: Advanced Machine Learning, Natural Language Processing
Business Analytics Specialization: Advanced Machine Learning, Storytelling and Advanced Business Problem Solving
Business Intelligence/Data Analytics: Advanced SQL and NoSQL Databases, Storytelling with Advanced Visualization
Deep Learning Specialization: Advanced Machine Learning, Natural Language Processing
Data Engineering: Data Modelling and Data Warehousing, Building Data Pipelines, Data Streaming, and Processing
The program is designed for working professionals looking for a transition or growth into the data domain. Considering the requirements of different data roles in the industry, the curriculum is divided into 5 specializations. These three specializations will have a common curriculum running for approximately 5-6 months that everyone will go through after which they have to do one specialization course and a capstone project in the remaining 6-7 months. The topics that are going to be covered as a part of the common curriculum and each of the five specializations are as follows:
Common Curriculum: Basics of SQL, Python, Statistics and EDA, Basic Machine Learning Models Deep Learning Specialization: Advanced Machine Learning, Neural Networks
Natural Language Processing Specialization: Advanced Machine Learning, Natural Language Processing
Business Analytics Specialization: Advanced Machine Learning, Storytelling and Advanced Business Problem Solving
Business Intelligence/Data Analytics: Advanced SQL and NoSQL Databases, Storytelling with Advanced Visualization
Deep Learning Specialization: Advanced Machine Learning, Natural Language Processing
Data Engineering: Data Modelling and Data Warehousing, Building Data Pipelines, Data Streaming, and Processing
5. What type of learning experience should I expect?
6. Is any certification granted at the end of the program?
7. When will I have to choose my specialization track?
8. How do I know which specialization is best for me?
When you’re nearing the end of your common curriculum, upGrad will provide you with a recommendation best suited for you based on your background. The following mapping should give you an idea about the specialization best suited for you although the final upGrad recommendation would come from a much more exhaustive rule engine.
Deep Learning: Engineers, Software and IT Professionals
Natural Language Processing: Engineers, Software and IT Professionals
Business Intelligence/ Data Analytics: Engineers, Marketing and Sales Professionals, Freshers
Business Analytics: Engineers, Managers, Marketing and Sales Professionals, Domain Expert
Data Engineering: Software and IT Professionals
When you’re nearing the end of your common curriculum, upGrad will provide you with a recommendation best suited for you based on your background. The following mapping should give you an idea about the specialization best suited for you although the final upGrad recommendation would come from a much more exhaustive rule engine.
Deep Learning: Engineers, Software and IT Professionals
Natural Language Processing: Engineers, Software and IT Professionals
Business Intelligence/ Data Analytics: Engineers, Marketing and Sales Professionals, Freshers
Business Analytics: Engineers, Managers, Marketing and Sales Professionals, Domain Expert
Data Engineering: Software and IT Professionals
9. Do I have to choose the specialization recommended by upGrad?
10. What online resource does LJMU provide for students to confirm the validation of awards and what information can be found there regarding their collaborative partnerships?
11. Where can one access comprehensive details about the MSDS program at LJMU, including its structure and specific program requirements?
1. What is the time commitment expected for the program?
At least 15 hours per week of time commitment is expected to be able to graduate from the program.
At least 15 hours per week of time commitment is expected to be able to graduate from the program.
2. Will the five specialisations require different time commitments?
Each of the fice specialisations will have a common ~29-week curriculum in which the time commitment will be exactly the same.
Each of the fice specialisations will have a common ~29-week curriculum in which the time commitment will be exactly the same.
1. How do I know if the program is right for me?
If you like finding meaningful insights from data and if you get excited by the prospect of informing business decisions through analysis and have an analytical bend of mind, then this program is meant for you. As long as you are able to clear the selection test (or are exempt) and are excited about the transition to Data Science, this program is meant for you.
If you like finding meaningful insights from data and if you get excited by the prospect of informing business decisions through analysis and have an analytical bend of mind, then this program is meant for you. As long as you are able to clear the selection test (or are exempt) and are excited about the transition to Data Science, this program is meant for you.
2. My current role does not include exposure to data. Does it make sense for me to opt for this program?
3. What is the application process for the program and what are the timelines?
There are 3 simple steps in the Admission Process which is detailed below:
Step 1: Submit Your Application
Fill out an application giving your basic profile details
Step 2: Give a selection test
Give a short 17 minutes aptitude test and get shortlisted
Step 3: Block your Seat & Begin the Prep Course
Reserve your seat by paying the deposit amount to enroll in the program. Begin with your Prep course and start your Data Science journey!
There are 3 simple steps in the Admission Process which is detailed below:
Step 1: Submit Your Application
Fill out an application giving your basic profile details
Step 2: Give a selection test
Give a short 17 minutes aptitude test and get shortlisted
Step 3: Block your Seat & Begin the Prep Course
Reserve your seat by paying the deposit amount to enroll in the program. Begin with your Prep course and start your Data Science journey!
4. What is the selection process for this program?
upGrad, IIITB, LJMU, world-renowned faculty, and many industry leaders have committed a lot of time in conceptualising and creating this program to make sure that the learners can receive the best possible learning experience in data analytics. Hence, we want to make sure that the participants of this program also show a very high level of commitment and passion for Data Science.
The applicants will have to take a selection test designed to check their aptitude and quantitative abilities. The applicants can skip the test if they meet one of the following criteria:
- GRE score is greater than 300
- GMAT score is greater than 650
- CAT score is greater than 90 percentile
- GATE score is greater than 500
upGrad, IIITB, LJMU, world-renowned faculty, and many industry leaders have committed a lot of time in conceptualising and creating this program to make sure that the learners can receive the best possible learning experience in data analytics. Hence, we want to make sure that the participants of this program also show a very high level of commitment and passion for Data Science.
The applicants will have to take a selection test designed to check their aptitude and quantitative abilities. The applicants can skip the test if they meet one of the following criteria:
- GRE score is greater than 300
- GMAT score is greater than 650
- CAT score is greater than 90 percentile
- GATE score is greater than 500
5. Is there any minimum educational qualification required to take this program?
Bachelor’s Degree with minimum 50% or equivalent passing marks.
No coding experience required.
Bachelor’s Degree with minimum 50% or equivalent passing marks.
No coding experience required.
1. Is there any deferral or refund policy for this program?
Refund Policy:
1. You can claim a refund for the amount paid towards the Program at any time, before the Program Start Date, by visiting www.upgrad.com and submitting your refund form via the "My Application" section under your profile. You can request your Admissions Counsellor to help you in applying and withdrawing for a refund by sending them an email with reasons listed. There shall be no refund applicable once the program has started. This is applicable even for those students who could not complete their payment, and could not be enrolled in the batch opted for. However, the student can avail pre-deferral as per the policy defined below for the same.
2. Student must pay the full fee within seven (7) days of payment of the deposit amount or Batch Start Date, whichever is earlier; otherwise, the admission letter will be rescinded.
3. Request for refund as per point no. 1 of the refund policy must be sent via email in the prescribed refund request form. The refund will be processed within 30 working days of submitting the duly signed refund form, after being duly approved by the Academic Committee.
Refund Policy:
1. You can claim a refund for the amount paid towards the Program at any time, before the Program Start Date, by visiting www.upgrad.com and submitting your refund form via the "My Application" section under your profile. You can request your Admissions Counsellor to help you in applying and withdrawing for a refund by sending them an email with reasons listed. There shall be no refund applicable once the program has started. This is applicable even for those students who could not complete their payment, and could not be enrolled in the batch opted for. However, the student can avail pre-deferral as per the policy defined below for the same.
2. Student must pay the full fee within seven (7) days of payment of the deposit amount or Batch Start Date, whichever is earlier; otherwise, the admission letter will be rescinded.
3. Request for refund as per point no. 1 of the refund policy must be sent via email in the prescribed refund request form. The refund will be processed within 30 working days of submitting the duly signed refund form, after being duly approved by the Academic Committee.
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