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PG Diploma in Data Science (Full-time)

11 month program, with 9-month residential training, followed by 2-month internship (non-residential)


Your Journey to become a successful Data Scientist begins today!

Hands-on learning on R, Excel, Tableau, Hadoop, Pig, Hive, Apache, Spark, Storm, etc.

Diploma from Manipal Academy of Higher Education

Comprehensive Curriculum

Loans available from Bank of Baroda, Axis Bank and Avanse Financial Services

Launch your career in data science by mastering Data Management & Visualization, Statistics, Machine Learning and Big Data

100% Placement Assistance with leading organisation on successful completion of the course

Choice of Electives

Placement Assistance

COURSE HIGHLIGHTS

Receive 40 credits, recognized by Global Universities for Higher Education

Become a Data Scientist

Global Recognition 

Industry Electives in different domains like Banking Analytics / Marketing Analytics

Industry-relevant course curriculum, with applications in multiple domains taught by highly experienced Subject Matter Experts (SMEs)  from academia, IT & Data Science industry

Loan Available 

PLACEMENT STATS (2017-2018)

of students placed on day 1 of placement

Highest Salary 

(Full-Time)

Average Salary

OUR RECRUITERS

* List is partial.

Professionals wanting to build machine learning models, using distributed storage and distributed processing


WHO SHOULD ATTEND

Engineering or Non-Engineering aspirants wanting to become a Data Scientist

Any Data Analyst or Software Developer aspiring to be a Data Scientist


Any professional from Business Analytics/ Business Intelligence background

Managers from Analytical background and those who are leading a team of Analysts

Rohit Singh


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.”



Vijayalakshmi Kapoor


TESTIMONIALS

“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.”


Sushanth Raj


Meghashree Shridhar


“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.” 


Anurag Sindhu


Vishu Kasivelu


“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.”


ELIGIBILITY CRITERIA

Applicants will be required to attempt and pass the Online Pre-Admission Test with sections on verbal, quantitative and analytical test.

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.


If admitted, you will be required to attend classes (face to face) in  Bangalore during weekdays (Monday - Friday) and select Saturdays. 

Batches start on 14th July 2018

Course fee

7,43,400    

Timings

BATCH SCHEDULE

Weekdays

  ii. The cut-off date for online application is 30th April 2018. Late          fee will be applicable post this date

Batch Start Date

Full-Time

Application 

Process

  i. Online Application can be purchased by paying Rs. 1000

Mode

(GST included)

Preparatory Courses on “Java Programming” and “Advanced Excel”

Instructor led classroom sessions on weekdays complimented by seamless

assignments & case studies during after class hours

Supplementary Online Training Program provided – “Python with Data Science”

Elective

MANIPAL ADVANTAGE

Limited Batch Size for Quality Interaction during lectures

Learning Mode 

Supplementary

Choose your elective based on domain/industry interest - Banking / Marketing Analytics

Restricted Batch Size

Preparatory Courses

3

LEARNING OUTCOMES

1

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

4

2

5

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.

TRANSITION TO CORPORATE-BEHAVIOURAL DEVELOPMENT PROGRAM

TERM 01

ADVANCED MACHINE LEARNING

PROGRAMMING FOR DATA SCIENCE

MACHINE LEARNING

DATABASE MANAGEMENT SYSTEMS

TERM 03

STATISTICAL TECHNIQUES FOR DATA SCIENCE

ELECTIVE 3: UNSTRUCTURED DATA ANALYSIS / LINEAR PROGRAMMING AND OPTIMISATION

EXPLORATORY DATA ANALYSIS

COURSE CURRICULUM

ELECTIVE 1: PRINCIPLES OF FINANCE or MARKETING

ADVANCED BIG DATA TECHNOLOGIES

BIG DATA TECHNOLOGIES

DATA VISUALISATION

ELECTIVE 2: BANKING /MARKETING ANALYTICS

TERM 02

INTERNSHIP/PROJECT WORK

Dr Kumar B.V.

FACULTY

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. 


Mr Mallikarjuna Doddamane

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

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.

Mr Mallikarjuna Doddamane has been in the education sector for 15 years across engineering and management areas. His is very passionate about Statistical Techniques and teaches the same at Manipal ProLearn.

Dr Ramesh Babu

Dr Gangaboraiah

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.

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