Courses
- MBA (3)
- Data Science (3)
- Machine Learning (6)
- Management (2)
- Marketing (1)
- Software & Technology (8)
- Master in Computer ScienceLiverpool John Moores University18 months
- PG Diploma in Software DevelopmentIIIT Bangalore12 months
- PG Certification in Front-End DevelopmentIIIT Bangalore7 months
- PG Certification in Back-End DevelopmentIIIT Bangalore7 months
- PG Certification in Cloud ComputingIIIT Bangalore7 months
- PG Certification in DevOpsIIIT Bangalore7 months
- PG Certification in Cyber SecurityIIIT Bangalore7 months
- PG Certification in Big DataIIIT Bangalore7 months
Master of Science in Data Science for Leaders
India's best selling program with 4.5* star rating. Learn in-demand skills to drive your organisation towards a new future through data-driven decision making.
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Intro Video
With Industry Experts From
- 12,600+Students Empowered
- FormatOnline
- 18 monthsRecommended 10-12 hrs/week
- Jan 30, 2021Start Date
- 300+Hiring Partners
Program Overview
Key Highlights
- Designed for Business Leaders
- 300+ Hours of Learning
- 75+ Case Studies and Projects
- Peer-to-Peer Networking
- Use Case Based Learning
- Personalised Industry Mentorship
- IIIT Bangalore & LJMU Alumni Status
- Profile Building & Resume Review
"For someone who wants to pursue a career in this field, it is worth to opting for. Knowing tools won’t solve the problems always, we need to use them wisely and correctly. The program provides the best professors, thought provoking assignments and case studies." - Student
- Top Skills You Will LearnIdentifying business problems, creating ML pipelines, implementing ML projects, evaluating models
- Who Is This Program For?Business Unit Heads, Management Consultants, Product Managers, Domain Experts, Experienced Tech Leaders
Syllabus
Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects
Programming Languages and Tools Covered
Master's Degree from LJMU
Complete all the courses successfully to obtain this prestigious recognition from LJMU.
- Connect with Global network of Faculty from LJMU
- Get access to complete digital library of LJMU
- Earn a Master's degree same as on-campus degree at 1/10th the cost
Instructors
Learn from leading Data Science faculty and industry leaders
Dr. Gabriela Czanner
Faculty - Engineering and Technology
A Senior Lecturer in Statistics and Data Science at Department of Applied Mathematics at LJMU. Her research focus is advanced statistics for decision support
Prof. Paulo Lisboa
Head of Dept - Applied Mathematics
Studied mathematical physics at LU and was the chairman of Industrial Mathematics at LJMU in 1996 and Head of Graduate School in 2002
Dr. Atif Waraich
Faculty - Computer Science
A Senior faculty of Engineering and Technology at LJMU who has multiple publications in the healthcare domain
Prof. Dhiya Al-Jumeily
Professor - Artificial Intelligence
A Senior Member of the IEEE and a Chartered IT Professional. He is a fellow of the UK Higher Education Academy
Chandrashekar Ramanathan
Dean - Academics
Prof. Chandrashekar has a Ph.D. from Mississippi State University and over 10 years of experience in several multinational organisations
Tricha Anjali
Associate Dean
Prof. Anjali has a Ph.D. from Georgia Tech as well as an integrated M.Tech. (EE) from IIT Bombay. She is currently the dean of IIIT-B
Prof. S. Sadagopan
Director
Prof. Sadagopan is the Director of IIIT Bangalore. He has an M.S. and a Ph.D. from Purdue University as well as a B.E. (Hons.) degree from Madras University
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.
Ujjyaini Mitra
Head of Data Science
An alumnus of McKinsey and Co., Flipkart, and Bharti Airtel with over 11 years of experience
Ankit Jain
Sr. Research Scientist
An alumnus of IIT Bombay, UCB, and Harvard Business School with over 9 years of experience.
Mirza Rahim Baig
Lead Business Analytics
Advanced analytics professional with 8+ years of experience as a consultant in the e-commerce and healthcare domains
Syllabus
Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions
- 300+Hours of Content
- 75+Case Studies and Projects
- 20+Live Sessions
- 20+1:8 Coaching Sessions with Industry Experts
- 15Tools and Software
Specialisations
You can choose one of the 5 specialisation, based on your interest.
- Deep Learning
- Natural Language Processing
- Business Intelligence
- Business Analytics
- Data Engineering
Topics Covered
Tree Models14hrModel Selection & General ML Techniques7hr 30minBagging and Boosting12hrAdvanced Regression12hrAdvanced Regression Assignment12hr 30minPrincipal Component Analysis8hrTime Series Analysis10hrTelecom Churn Case Study14hrIntroduction to Neural Networks30hrNeural Networks Assignment12hrConvolutional Neural Networks - Introduction and Industry Applications20hrRecurrent Neural Networks15hrGesture Recognition20hrCapstone project40hrTools CoveredProject
Capstone ProjectChoose from a range of real-world industry woven projects on advanced topics...Learn MoreTopics Covered
Tree Models14hrModel Selection & General ML Techniques7hr 30minBagging and Boosting12hrAdvanced Regression12hrAdvanced Regression Assignment12hr 30minPrincipal Component Analysis8hrTime Series Analysis10hrTelecom Churn Case Study14hrLexical Processing10hrSyntactic Processing30hrSyntactic Processing Assignment10hrSemantic Processing10hrChatbot Case Study80hrCapstone project40hrTools CoveredProject
Capstone ProjectChoose from a range of real-world industry woven projects on advanced topics...Learn MoreTopics Covered
Introduction to Databases8hrAdvanced SQL and Best Practices9hrSchema Design and Retrieval Assignment8hrNoSQL Databases and Best Practices30hrIntroduction to Cloud and Hive12hrSQL Case Study: Analysing Big Data in Retail14hrAdvanced Excel10hrVisualisation using Tableau16hrInteractive Marketing Campaign Analysis10hrVisualisation using PowerBI9hrIntroduction to R and RShiny14hrEffective Communication Strategies, Formats, and Templates8hrPresentations to Technical and Non-Technical Stakeholders8hrBusiness Case Study16hrCapstone Project40hrTools CoveredProject
Capstone ProjectChoose from a range of real-world industry woven projects on advanced topics...Learn MoreTopics Covered
Tree Models14hrTime Series Analysis20hrRetail-Giant Sales Forecasting Assignment9hrModel Selection & General ML Techniques7hr 30minTelecom Churn Case Study14hrAdvanced SQL and Best Practices9hrAdvanced Excel10hrStructured Problem Solving using Frameworks9hrHypothesis Formulation9hrAssignment8hrRevenue and Operational Cost Modelling8hr 30minIntroduction to Economics and Financial Concepts12hrEffective Communication Strategies, Formats, and Templates8hrPresentations to Technical and Non-Technical Stakeholders8hrBusiness Case Study16hrCapstone project40hrTools CoveredProject
Capstone ProjectChoose from a range of real-world industry woven projects on advanced topics...Learn MoreTopics Covered
Introduction to Hadoop and MapReduce Programming12hrData Management and Relational Database Modelling8hrNoSQL Databases and Apache HBase12hrData Warehousing (Optional)8hrData Ingestion with Apache Sqoop and Apache Flume12hrAssignment (Optional)15hrBuilding and Querying Data Warehouse with Apache Hive20hrCase Study: Ingestion & Warehousing20hrData Processing with PySpark20hrReal-Time Data Streaming with Apache Kafka12hrReal-Time Data Processing using Spark Streaming12hrAssignment (Optional)15hrBuilding Automated Data Pipelines with Oozie/Airflow12hrAnalytics using PySpark20hrCase Study: Kafka, Spark Streaming and PySpark20hrCapstone Project40hrTools CoveredProject
Capstone ProjectChoose from a range of real-world industry woven projects on advanced topics...Learn More
Industry Projects
Learn through real-life industry projects sponsored by top companies across industries
- Engage in collaborative projects with student-mentor interaction
- Benefit by learning in-person with expert mentors
- Personalised subjective feedback on your submissions to facilitate improvement
- Uber Supply-Demand GapUse analytics to identify why Uber sometimes faces a supply-demand challenge...Learn More
- Creditworthiness of CustomersLearn how Predictive Analytics can be used to decide the creditworthiness of...Learn More
- Speech RecognitionLearn how Google speech-to-text works and make your own model.Learn More
- Image CaptioningBuild a model which will caption a given image and describe it in sentences ...Learn More
- Social Media ListeningWhat if you could predict the popularity of a brand like upGrad in India?Learn More
- Telecom ChurnTelecom companies often face the problem of churning customers due to the co...Learn More
- IMDb Movie AnalysisAnalyze movie data from the past hundred years and find out various insights...Learn More
- Lead ScoringLearn how the knowledge of basic machine learning algorithms can be used to ...Learn More
- Fraud DetectionDecline fraud transactions on a credit card in real-time to minimize the los...Learn More
- Retail-Giant Sales ForecastingHelp a retail-giant to have a clear idea of how their sales will look like i...Learn More
- Interactive Marketing Campaign AnalysisResearch and analyse data from a marketing campaign to gain valuable insight...Learn More
The upGrad Advantage
Strong hand-holding with dedicated support to help you master Data Science
- Industry Mentors
- Receive unparalleled guidance from industry mentors, teaching assistants and graders
- Receive one-on-one feedback on submissions and personalised feedbacks on improvement
Student Success Mentors- A dedicated Success Mentors is allocated to each student so as to ensure consistent progress
- Success Mentors are your single points of contact for all your non-academic queries
- Q&A Forum
- Timely doubt resolution by Industry experts and peers
- 100% Expert-verified responses to ensure quality learning
Expert Feedback- Personalised expert feedback on assignments and projects
- Regular live sessions by experts to clarify concept related doubts
- upGrad BaseCamp
- Fun-packed, informative and career building workshops Sessions by industry professionals and professors
- Group activities with your peers and alumni
Industry Networking- Live sessions by experts on various industry topics
- One-on-one discussion and feedback sessions with industry mentors
Over 500 Careers Transformed
Learn more about successful career transitions in the
50%
inc. in Salary
The curriculum and program is very structured and easy to consume. The mock calls and encouraging words from the CEO before my interview were extremely encouraging.
Research Assistant
News Analyst
200%
inc. in Salary
The program has been absolutely fantastic. The mentorship through industry veterans, BaseCamps, and student mentors makes the program extremely engaging. I would definitely endorse the program for its rich content and comprehensive approach to Data Science.
Business Systems Analyst
Business Analyst
The program's content was so well structured that it helped me grasp concepts very new to me. I was able to secure a job at Kantar Analytics through upGrad's placement drive.
Fresher
Data Analyst
The mock interviews at upGrad was very helpful since it was catered to the kind of role I was looking to get into. The feedback was extremely useful and also helped me gain confidence before the main interview.
Data Consultant
Business Analyst
100%
inc. in Salary
Learning with upGrad was like going back to University for me. Their career support and mentorship calls really helped me switch to a career in the field of Data Science.
Software Engineer
Data Analyst
58%
Average Salary Hike
72L
Highest Salary
500+
Career Transitions
300+
Hiring Partners
Career Counselling
Get personalised career pathing from experts to chart out best opportunities
Learn More
Resume Feedback
Obtain specific, personalised inputs on your resume structure and content
Learn More
Interview Preparation
Receive one-on-one mock interviews conducted by industry mentors and detailed feedback after an interview
Learn More
Job Assistance
Get an opportunity to interview for upGrad's 300+ hiring partners
Learn More
Our Students Work At
Akash Kumar
Aman Avilash
Anand Sonawane
Asher Babu
Digvijay Vyas
Harsha Raikar
Jai Singh Bhagat
Jaya Priya
Kumar Vaibhav
Manshul Goel
Mathew George
Mirza Hashim
Mukund Kumar
Nirmal Maheshwari
Ragul Tamilchemma
Reshma Sharma
Rutuja Mowade
Sai Dileep
Santhosh Francis
Shreyas Srivatsan
Shyam Kumar V N
Snigdha Prakash
Soumya Kuttapa
Career Transition Handbook
Learn more about successful career transitions from PG Diploma in Data Science by IIIT Bangalore
Download Now
Admission Process
There are 3 simple steps in the Admission Process which is detailed below:
Step 1: Take the Online Eligibility Test
Complete your application to take the 17 minute online eligibility test to kick-start the admission process. The test is designed to assess your quantitative & logical aptitude ensuring you're ready for the program.
Step 2: Get Shortlisted & Receive your Offer Letter
Our Admissions Committee will review your test score & profile. Upon qualifying, an Offer Letter will be sent to you confirming your admission to the PG Diploma in Data Science and Master in Data Science from L.J.M.U
Step 3: Block your Seat & Begin the Prep Course
Block your seat with a payment of INR 35,000 to enroll into the program. Begin with your Prep course and start your Data Science journey!
Program Fee
₹ 485,000
No Cost EMI at ₹27,621/month (inclusive of all taxes)
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Empowering learners of tomorrow
Over 2,300 students have completed this course and started working at their dream job, whats stopping you?
How You Benefit From This Program
- M.Sc & Post Graduate Diploma without quitting your job
- Cutting-edge curiculum designed by industry experts
- Alumni status from IIIT Bangalore & LJMU
- Career transition With up to average 58% salary hike
- Hiring opportunities from Uber, Microsoft, PwC, Genpact and more
Our Hiring Partners
Opening the doors to the best in the industry
Student Reviews
The PGD-DA course from upGrad and IIIT-Bangalore has been a boon for me and it has helped enhance my skills in Excel, SQL, R, etc.
It doesn’t matter what your previous working background is, as everything is taught from the basics.
Group case studies really give a sense of teamwork, as it happens in regular classroom studies. It teaches us coordination and right attitude as a team player in meeting all the deadlines.
Frequently Asked Questions
Course Curriculum
Time Commitment
Career Prospects and Support
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