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PG DIPLOMA IN DATA SCIENCE

Top companies hiring:

Diploma from Manipal Academy of Higher Education

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

11 month program, with 9-month classroom program in Bangalore, followed by 2-month internship. Fee: Rs. 4.95 Lacs (excl. taxes)


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Only students having above 50% in Graduation are eligible. Refer Eligibility Criteria for details.

Highest Salary Package: INR 9.32 lakhs

INDUSTRY  PARTNERS

COURSE HIGHLIGHTS

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

Placement Assistance

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

Become a 

Data Scientist

Receive 40 credits, recognized by Global Universities for Higher Education

Global 

Recognition 

Industry Electives in different domains like Banking Analytics / Marketing Analytics

Choice 

of Electives

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

Comprehensive Curriculum

Loans available from Neev Finances, Tachy Loans and Avanse Financial Services.

Loan 

Available 

WHO SHOULD ATTEND

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

Any professional with a Business Analytics/ Business Intelligence background

Managers from Analytical background and those leading a team of Analysts

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

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


ELIGIBILITY CRITERIA

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. Min 50% marks or equivalent mandatory to qualify. 


Applicants are required to pass the Online Pre-Admission Test with sections on verbal, quantitative and analytical reasoning.

Admitted students are required to attend face to face classes in Bangalore during weekdays (Monday - Friday) and on select Saturdays. 

1

Perform data analysis, modelling, predictive analysis, and story-telling through data visualization which is crucial to business decision-making.

2

Understand and use Big Data technologies as enablers to deploy enterprise information management and solve business problems.

3

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

5

Communicate analytics problems, methods, and findings effectively orally, visually, and in writing.

Help learners make critical decisions through analysis, modelling, visualization to make informed business decisions.

LEARNING OUTCOMES

PROGRAM COMPLETION CERTIFICATE

and many more…

SOME OF OUR RECRUITERS

PLACEMENT STATS (2017-2018)

Upto 143% salary hike received after this course

Highest Salary 

(Full-Time)

Average Salary

4,95,000 (GST included). Hostel accommodation available at an additional fee.

BATCH SCHEDULE

Batch Start Date: 

Next batch Start Date: 24th September 2018. Full time, face to face classes on weekdays and select Saturdays. 

Application Process:

 Online Application can be purchased by paying Rs. 2000

Course Fee:

FACULTY

Dr. Ramesh Babu

Ph.D, Computer Sc. & Engineering, IIT-Bombay

Dr. Gangaboraiah

Research Methodology and Statistics

Mohan Kumar Silaparasetty

B. Tech ( E&ECE) - IIT Kharagpur

R.N. Prasad

Senior Analytics Consultant

Pankaj Rai

Head of Strategic Planning, Wells Fargo’s 

INDUSTRY MENTORS

Sameer Dhanrajani

CEO, Fractal Analytics

Dr. Suman Katragadda

Analytics Thought Leader

Anand S

CEO, Gramener

MANIPAL ADVANTAGE

Supplementary

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

Restricted Batch Size

Limited Batch Size for Quality Interaction during lectures

Learning Mode 

Instructor led classroom sessions on weekdays complimented by seamless

assignments & case studies during after class hours

Elective

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

Preparatory Courses

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

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

Some of the Industry Projects completed by our students

Analysis of Stock Market Data and prediction of Stock Prices

DonorsChoose.org Application Screening

Handwritten

Digit

Recognition

Safe driver prediction using machine learning algorithms


Conversational 

Chatbots


STUDENT REVIEWS  

“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


“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.”


Meghashree Shridhar


“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.”


Sushanth Raj


Rohit Singh


“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.” 


“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.”


Anurag Sindhu


“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.” 


Vishu Kasivelu


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