PG Diploma in Data Science (Full-time)
Diploma from Manipal Academy of Higher Education
Ask us everything about the program!
Your Journey to become a successful Data Scientist begins today!
Hands-on learning on R, Excel, Tableau, Hadoop, Pig, Hive, Apache, Spark, Storm, etc.
11-month classroom session led by industry experts
Industry-relevant course curriculum, with applications in multiple domains taught by highly experienced Subject Matter Experts (SMEs) from academia, IT & Data Science industry
100% Placement Assistance with leading organisation on successful completion of the course
Launch your career in data science by mastering Data Management & Visualization, Statistics, Machine Learning and Big Data
Industry Electives in different domains like Banking Analytics / Marketing Analytics
Receive 40 credits, recognized by Global Universities for Higher Education
Loans available from
Bank of Baroda, Axis
Bank and Avanse
WHO SHOULD ATTEND
Any Data Analyst or Software Developer aspiring to be a Data Scientist
Engineering or Non-Engineering aspirants wanting to become a Data Scientist
Managers from Analytical background and those who are leading a team of Analysts
Any professional from Business Analytics/ Business Intelligence background
Professionals wanting to build machine learning models, using distributed storage and distributed processing
Hear it directly from the learners on what they have to say about our program
“A nitro boost, would be an apt rendition for what this PGD in Data Science Program has been to my career skill sets, be it Analytical or presentation or extracting patterns/insights, consequently acting as a springboard for my career prospects.”
“I am working as Technical Program Manager for
PayPal Credit. PGDDS course from Manipal Global
Academy is not only helping me to understand how
credits to merchants and consumers are getting
rejected/approved but also the algorithm behind them.”
“I thank myself that I chose this program. Well balanced theory and applications, highly skilled faculties and a diverse set of students are what I appreciate most.”
“Manipal helped us change our career paths by bringing so many companies for campus recruitment. This course has given us a wide variety subject exposure which will definitely help each one of us in our career.”
“The program is designed with keeping in mind interest of both freshers and working professional. The right balance of theory, practical and hackathons makes the students industry ready.”
“This course has given us the platform to start a career in Data Science/Machine Learning. It has given me a baseline where to start with.”
If admitted, you will be required to attend classes (face to face) in Bangalore during weekdays (Monday - Friday) and select Saturdays.
Freshers without prior experience and Working professionals on a sabbatical from their work can join the program.
Applicants should have the following minimum Academic qualifications:
1. B.E/B.Tech/BCA/B-Pharm graduates and/or ME/M.Tech/MCA/M-Pharm or Science Graduates (BSc. & MSc.) in Maths/Stats/Operations Research/ Physics/Economics/Computer Science/Information Technology or Commerce Graduates in Maths/Stats/Economics/Computer Science/ Information Technology.
2. Min 50% marks or equivalent in the qualifying examinations.
Applicants will be required to attempt and pass the Online Pre-Admission Test with sections on verbal, quantitative and analytical test.
ii. The cut-off date for online application is 31st March 2018. Late fee will be applicable post this date
Batches start on 14th July 2018
i. Online Application can be purchased by paying Rs. 1000
Batch Start Date
Restricted Batch Size
Supplementary Online Training Program provided – “Python with Data Science”
Limited Batch Size for Quality Interaction during lectures
Instructor led classroom sessions on weekdays complimented by seamless
assignments & case studies during after class hours
Choose your elective based on domain/industry interest - Banking / Marketing Analytics
Preparatory Courses on “Java Programming” and “Advanced Excel”
Communicate analytics problems, methods, and findings effectively orally, visually, and in writing
Perform data analysis, modelling, predictive analysis, and story-telling through data visualization which is crucial to business decision-making.
Apply the methods, tools and techniques to real-world problems by leveraging technologies such as R, Excel, SQL, NoSQL, Tableau, Hadoop, Pig, Hive, Apache Spark and Storm, and other open source and proprietary products as well
Understand and use Big Data technologies as enablers to deploy enterprise information management and solve business problems
Help Companies make critical decisions through analysis, modelling, visualization, etc.
Doddamane has been in
the education sector for 15 years across engineering
and management areas.
His is very passionate
Techniques and teaches
the same at Manipal ProLearn.
Dr Ramesh Babu has two decades of professional experience in various positions in Technology, Management, Consulting and Leadership in the IT industry. His functional
areas include driving enterprise-wide capacity
and capabilities programs.
Dr Ramesh Babu
Mr Mallikarjuna Doddamane
Dr Pulak Ghosh
Dr. Pulak Ghosh is the Professor of Decision Sciences and Information Systems at Indian Institute
of Management Bangalore. Dr Ghosh also serves as a senior fellow at Niti Aayog and in the Advisory group
of Big data at the United Nations (UN) Global Pulse.
Dr Gangaboraiah has held several positions at the Department of Community Medicine.As a Visiting Professor, he has taught Research Methodology
and Statistics in various Educational institutions across the country.
Dr Kumar B.V.
Mr Amit Choudhary
Dr Kumar is a seasoned professional with over 25 years of global experience
in leading technology evangelism, industry & academia collaboration, championing external
vendor collaboration, and delivery management.
Mr Amit Choudhary has 9 years 8 months of work experience in Manipal Global Education Service Pvt. Ltd. He has worked on various government projects like EGMM, UPSD, UDD etc where analytics was a part of project.