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PG DIPLOMA IN DATA SCIENCE

Top companies hiring:



Highest Salary package:

9.32 L

Take the first step to become a data scientist!

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COURSE HIGHLIGHTS

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

Placement Assistance

Master Data Management and Visualization, statistics, Machine Learning, Neural networks, AI, Deep Learning, Big Data technology, Unstructured data analysis

Become a 

Data Scientist

Receive 40 credits, recognized by Global Universities for Higher Education

Global 

Recognition 

Domain Specific electives on Marketing and Banking 

Analytics, Unstructured Data 

Analysis, Robotic Process 

Automation and Linear Programming

 

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

 Avanse and TachyLoans

Loan 

Available 

OUR RECRUITERS

and many more…

PLACEMENT STATS (2017-2018)

Get up to 143% hike in salary after this course

Highest Salary 

(Full-Time)

Average Salary

WHO SHOULD ATTEND

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

Any professional from Business Analytics/ Business Intelligence background

Managers from Analytics background and those who are 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


PROGRAM COMPLETION CERTIFICATE

ELIGIBILITY CRITERIA

Fresher as well as professionals  can join the program.

Applicants should have the following minimum Academic qualifications:


1. Graduates from a recognized institute/ University with one Maths/Programming as a subject in the qualifying degree. 


2. Min 50% marks or equivalent in the qualifying examinations.


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

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

1

2

3

4

4,95,000 + taxes (without hostel)

BATCH SCHEDULE

Mode

Batch Start Date

Timings

Full-Time

Batches start on 28th January 2019

Weekdays

Application 

Process

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

Course fee

6,30,000 + taxes (with hostel facilities

for 9 months)

PROGRAMMING FOR DATA SCIENCE (USING R AND PYTHON)

EXPLORATORY DATA ANALYSIS

DATA SCRAPPING AND WRANGLING

STATISTICAL TECHNIQUES FOR DATA SCIENCE

MACHINE LEARNING

ELECTIVE 1: PRINCIPLES OF MARKETING or FINANCE

DATA VISUALIZATION

BIG DATA TECHNOLOGIES

ARTIFICIAL INTELLIGENCE

ADVANCED BIG DATA TECHNOLOGIES

TRANSITION TO CORPORATE-BEHAVIOURAL DEVELOPMENT PROGRAM

ELECTIVE 2: BANKING or MARKETING ANALYTICS

COURSE CURRICULUM

ELECTIVE 3: UNSTRUCTURED DATA ANALYSIS/ LINEAR PROGRAMMING AND OPTIMIZATION/ ROBOTIC PROCESS AUTOMATION

TERM 01

TERM 02

TERM 03

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


FACULTY

Dr. Ramesh Babu

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

Dr. Gangaboraiah

Research Methodology 

& Statistics

Mohan Kumar Silaparasetty

B. Tech ( E&ECE) - IIT Kharagpur

R.N. Prasad

Senior Analytics Consultant

Pankaj Rai

Head of Strategic Planning, Wells Fargo 

INDUSTRY MENTORS

Sameer Dhanrajani

Chief Strategy Officer, Fractal Analytics

Dr. Suman Katragadda

Analytics Thought Leader

Anand S

CEO, Gramener

MANIPAL ADVANTAGE

Limited 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, Unstructured Data Analysis, Robotic Process Automation and Linear Programming.

 

Preparatory Courses

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

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 Python, 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

TESTIMONIALS

Hear it directly from the learners on what they have to say about our program

“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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