Close

PG Diploma in Data Science (Full-time)

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


PG Diploma from Manipal Academy of Higher Education

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

Ask us everything about the program!

Your Journey to become a successful Data Scientist begins today!

By requesting info you agree to be contacted by Manipal ProLearn

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)

Get up to 143% hike in salary after this course

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. 

Full-Time

Course fee

Application 

Process

7,43,400    

Batch Start Date

BATCH SCHEDULE

  i. Online Application can be purchased by paying Rs. 2000

Mode

Timings

Batches start on 14th July 2018

Weekdays

(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

DonorsChoose.org Application Screening

Safe driver prediction using machine learning algorithms


Influence of international news headlines over stock trends: a sentiment analysis

Handwritten Digit Recognition


The project is about analysing how the sentiments of non-quantifiable data, like International news articles about a company, influences the future stock trend.

Data Mining Approach For Studying about Sales of different Products and Studying behaviour of different customers for predicting future sales.

Some of the Industry Projects completed by our students

Conversational Chatbots


The project is about building a conversational chat bot based on the dataset of the website information and queries raised by the customers.

To predict whether or not a DonorsChoose.org project proposal submitted by a teacher will be approved, using the text of project descriptions (Text analytics) as well as additional metadata about the project, teacher, and school. DonorsChoose.org can then use this information to identify projects most likely to need further review before approval.

The objective of the project is to recognise and design an application system for Handwritten digits. The input to the system would be a pure digit’s image and output would be recognized digits.

Analysis of Stock Market Data and prediction of Stock Prices

Using the historical data of stocks, an analysis will be done using techniques like EDA and Data Visualization. Further, Machine Learning and Deep Learning will be used alongside Statistical methods like ARIMA. RShiny will be used to build a user friendly web application for the same. Unstructured Data Analysis will be used on Web Scrapping of Stock market news and economic news.

Building a predictive model to predict the probability that a driver will initiate an auto insurance in future.

Analyzing Past Shopping Records for getting insights about sales of different products, behaviour of different customers, finding Association Rules for different products and predicting forecast for sales of different products.

FACULTY

Dr Gangaboraiah

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

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.

Mr Nagabhushan M

Mr Nagabhushan M has over 13 years of business experience, of which 7+ years were in the role of SME and educator. In the Big Data Ecosystem his focus areas include Hadoop, YARN, MapReduce, HDFS, HBase, Zookeeper, Hive, Pig, Sqoop, Cassandra, Oozie, Flume, Ambari, MAPR Hadoop, Hortonworks Hadoop and Cloudera Hadoop.

Dr Ramesh Babu

Mr Kathirmani Sukumar

Mr Kathirmani Sukumar has 8 years experience in data analytics. Kathirmani is specialized in data visualization , exploratory data analysis, and text analytics. He has also developed various data science applications using Python. He has worked with Gramener Technologies as a senior data scientist and then has now co-founded Quelit Innovations.

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.

Mr R.N. Prasad

Mr R.N. Prasad is a Senior Analytics Consultant helping companies to design and implement innovative decision support and Corporate Performance Management (CPM) Systems. He is associated with Manipal Global Academy of IT and Data Science for over 3 years to design, develop and deliver education programs for big data, analytics, data architecture and product management areas.


Mr Mohan Kumar Silaparasetty

Mr Raghavendra N.


Mr Raghavendra N. has 9 years of experience in Industrial IT(Oracle, Open Source) Competency Development &Technical Consulting and Assessment Operations with agile learning methodologies. He has sound knowledge and training experience in Data structures and Database programming, Oracle Database administration UNIX, Java, C, C++ and Hadoop fundamentals. 


Mr Mohan Kumar Silaparasetty has been in the IT industry for more than 25 years. After graduating from IIT - Kharagpur, Mohan worked for SAP and IBM in a variety of leadership roles before embarking on his entrepreneurial journey. 

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.

Dr Venu is a seasoned analytics professional from an Economics background. He has spent over 12 years in analytics product development & implementation, client consulting and project delivery. Dr. Venu is a PhD from ISEC in International Business Strategy.

Mr Pankaj Rai is the Head of Strategic Planning at Wells Fargo’s GIC where he is responsible for creating a culture of 3Es (effectiveness, efficiency & experience) in the shared services operations spread out across India and Philippines. 

Mr Pankaj Rai

INDUSTRY MENTORS

Dr Venu Gopal Jarugumalli

Mr Renuka Prasad

Mr Sudhir S

Mr Renuka Prasad is the General Manager and Head of Recruitment For Analytics at WNS Global Services.

Mr Sudhir S is currently working as a Principal Consultant at Fractal Analytics. His previous work experienceincludes eminent positions at Cognizant, Genpact and GE. His core areas of expertise include Business Analytics, Business Intelligence, Predictive modelling and analytics. 

Dr Suman Katragadda

Mr Gaurav Sundararaman

Mr Suman Katragadda is an analytics thought leader with deep expertise in healthcare payers and providers. He is one of the founding members of health care analytics practice at PwC, US that has consistently been ranked as No.1 for more than three years. 

Mr Gaurav works as a Senior Stats Analyst with ESPN. He’s been in the sports analytics domain for close to  6 years. He has previously worked with the Indian cricket team and with IPL franchises. Gaurav has presented a paper at MIT Sloan sports analytics 

conference at Boston.

© 2018 Manipal ProLearn. All rights reserved.