Amidst the economic uncertainty that surrounds us, take the first step to secure your future. Start your Masters today by paying only Rs 10,000 and experience the upGrad learning.
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Format
Online
18 months
Recommended 10-12 hrs/week
Jan 30, 2021
Start Date
300+
Hiring Partners
Learning
Syllabus
Specialisation
Projects
Benefits
Careers
Admission Process
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About the Program
Choose from 5 specialisations, receive industry mentorship, dedicated career support, learn 14 programming tools & languages & much more
5 Unique Specialisations
Choose from 5 specialisations as per your background & career aspirations. Get a PG Diploma in Data Science from IIIT-B with a specialisation.
Dedicated Career Assistance
Receive unlimited 1:1 career counselling sessions & mock interviews with hiring managers. Further your career with our 300+ hiring partners.
Personalised Mentorship
Get a dedicated student mentor with proactive support every step of the way & personalised fortnightly group (1:8) mentorship sessions with industry experts.
Statistics, Predictive Analytics using Python, Machine Learning, Advanced Data Visualization, Business Problem Solving, Databases, Big Data, Revenue and Cost Modelling, Finance, Neural Networks, Natural Language Processing
Job Opportunities
Data Analyst, Data Scientist, Product Analyst, Machine Learning Engineer, Business Analyst
Who Is This Program For?
Any of the specialization can be chosen by you regardless of the background. But in order to achieve the best results, the following tracks are recommended basis the background Engineers, Marketing and Sales Professionals, Freshers Business Analyst, Domain Expert ,Software and IT Professionals
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
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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
Sajan Kedia
Lead Data Scientist (Pricing)
An alumnus of IIT with over 7 years of experience working on Watson at IBM Research, Startups & Myntra
Syllabus
Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions
Pre-Program Preparatory Content
4Weeks
Data Toolkit
11Weeks
2Assignments
+1
Instructors
Machine Learning
9Weeks
3Assignments
Specialization - Deep Learning
19Weeks
4Assignments
Specialization - Natural Language Processing
19Weeks
4Assignments
Specialization - Business Intelligence
19Weeks
4Assignments
Specialization - Business Analytics
19Weeks
4Assignments
Specialization - Data Engineering
19Weeks
4Assignments
Research Methodologies
8Weeks
Master's Dissertation
16Weeks
400+
Hours of Content
10+
Case Studies and Projects
20+
Live Sessions
25
1:8 Coaching Sessions with Industry Experts
14
Tools and Software
Specialisation
You can choose one or more specialisation, based on your interest.
Deep Learning
Natural Language Processing
Business Intelligence
Business Analytics
Data Engineering
Topics Covered
Deep Learning
19Weeks
4Assignments
Tree Models
14hr
Model Selection & General ML Techniques
7hr 30min
Bagging and Boosting
12hr
Advanced Regression
12hr
Advanced Regression Assignment
12hr 30min
Principal Component Analysis
8hr
Time Series Analysis
10hr
Telecom Churn Case Study
14hr
Introduction to Neural Networks
30hr
Neural Networks Assignment
12hr
Convolutional Neural Networks - Introduction and Industry Applications
20hr
Recurrent Neural Networks
15hr
Gesture Recognition
20hr
Capstone Project
40hr
Tools Covered
Project
Capstone Project
Choose from a range of real-world industry woven projects on advanced topics...
Learn More
Topics Covered
Natural Language Processing
19Weeks
4Assignments
Tree Models
14hr
Model Selection & General ML Techniques
7hr 30min
Bagging and Boosting
12hr
Advanced Regression
12hr
Advanced Regression Assignment
12hr 30min
Principal Component Analysis
8hr
Time Series Analysis
10hr
Telecom Churn Case Study
14hr
Lexical Processing
10hr
Syntactic Processing
30hr
Syntactic Processing Assignment
10hr
Semantic Processing
10hr
Chatbot Case Study
80hr
Capstone Project
40hr
Tools Covered
Project
Capstone Project
Choose from a range of real-world industry woven projects on advanced topics...
Learn More
Topics Covered
Business Intelligence
19Weeks
4Assignment
Introduction to Databases
8hr
Advanced SQL and Best Practices
9hr
Schema Design and Retrieval Assignment
8hr
NoSQL Databases and Best Practices
30hr
Introduction to Cloud and Hive
12hr
SQL Case Study: Analysing Big Data in Retail
14hr
Advanced Excel
10hr
Visualisation using Tableau
16hr
Interactive Marketing Campaign Analysis
10hr
Visualisation using PowerBI
9hr
Introduction to R and RShiny
14hr
Effective Communication Strategies, Formats, and Templates
8hr
Presentations to Technical and Non-Technical Stakeholders
8hr
Business Case Study
16hr
Capstone Project
40hr
Tools Covered
Project
Capstone Project
Choose from a range of real-world industry woven projects on advanced topics...
Learn More
Topics Covered
Business Analytics
19Weeks
4Assignment
Tree Models
14hr
Time Series Analysis
20hr
Retail-Giant Sales Forecasting Assignment
9hr
Model Selection & General ML Techniques
7hr 30min
Telecom Churn Case Study
14hr
Advanced SQL and Best Practices
9hr
Advanced Excel
10hr
Structured Problem Solving using Frameworks
9hr
Hypothesis Formulation
9hr
Assignment
8hr
Revenue and Operational Cost Modelling
8hr 30min
Introduction to Economics and Financial Concepts
12hr
Effective Communication Strategies, Formats, and Templates
8hr
Presentations to Technical and Non-Technical Stakeholders
8hr
Business Case Study
16hr
Capstone Project
40hr
Tools Covered
Project
Capstone Project
Choose from a range of real-world industry woven projects on advanced topics...
Learn More
Topics Covered
Data Engineering
19Weeks
4assignment
Introduction to Hadoop and MapReduce Programming
12hr
Data Management and Relational Database Modelling
8hr
NoSQL Databases and Apache HBase
12hr
Data Warehousing (Optional)
8hr
Data Ingestion with Apache Sqoop and Apache Flume
12hr
Assignment (Optional)
15hr
Building and Querying Data Warehouse with Apache Hive
20hr
Case Study: Ingestion & Warehousing
20hr
Data Processing with PySpark
20hr
Real-Time Data Streaming with Apache Kafka
12hr
Real-Time Data Processing using Spark Streaming
12hr
Assignment (Optional)
15hr
Building Automated Data Pipelines with Oozie/Airflow
12hr
Analytics using PySpark
20hr
Case Study: Kafka, Spark Streaming and PySpark
20hr
Capstone Project
40hr
Tools Covered
Project
Capstone Project
Choose 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 Gap
Use analytics to identify why Uber sometimes faces a supply-demand challenge...
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Creditworthiness of Customers
Learn how Predictive Analytics can be used to decide the creditworthiness of...
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Speech Recognition
Learn how Google speech-to-text works and make your own model.
Learn More
Image Captioning
Build a model which will caption a given image and describe it in sentences ...
Learn More
Social Media Listening
What if you could predict the popularity of a brand like upGrad in India?
Learn More
Telecom Churn
Telecom companies often face the problem of churning customers due to the co...
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Lead Scoring
Learn how the knowledge of basic machine learning algorithms can be used to ...
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IMDb Movie Analysis
Analyze movie data from the past hundred years and find out various insights...
Learn More
Fraud Detection
Decline fraud transactions on a credit card in real-time to minimize the los...
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Retail-Giant Sales Forecasting
Help a retail-giant to have a clear idea of how their sales will look like i...
Learn More
Interactive Marketing Campaign Analysis
Research 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
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
Career Transition Handbook
Aishwarya Ramachandran
Bengaluru6 Years
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
Moulik Srivastava
Bengaluru5 Years
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
Bhagvathi
Bengaluru1 Year
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
Sowjanya Vijaynagar
Bengaluru5 Years
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
Atul Agarwal
Mumbai2 Years
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 *
Pay 10,000 now and start your Masters * ( Applicable to people residing in India)
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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
Vibhor Srivastava
4.5 Years ExperienceDeputy Manager,ICICI Bank
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.
Rutuja Mowade
4 Years ExperienceAnalyst,Nice
It doesn’t matter what your previous working background is, as everything is taught from the basics.
Anshu Srivastava
6 Years ExperienceReaserach Assistant,Nice
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.
Gangadhar Mathyam
2 Years ExperienceData Analyst,Tech Mahindra
They will prepare you how to face Data Science job interviews. Along with this, upGrad will also provide mock interviews and mock mcqs tests to check your capability for the interviews.