PG DIPLOMA IN DATA SCIENCE
Top companies hiring:
Highest Salary package:
Take the first step to become a data scientist!
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100% Placement Assistance with leading organisation on successful completion of the course
Master Data Management and Visualization, statistics, Machine Learning, Neural networks, AI, Deep Learning, Big Data technology, Unstructured data analysis
Receive 40 credits, recognized by Global Universities for Higher Education
Domain Specific electives on Marketing and Banking
Analytics, Unstructured Data
Analysis, Robotic Process
Automation and Linear Programming
Industry-relevant course curriculum, with applications in multiple domains taught by highly experienced Subject Matter Experts (SMEs) from academia, IT & Data Science industry
Loans available from
Avanse and TachyLoans
and many more…
PLACEMENT STATS (2017-2018)
Get up to 143% hike in salary after this course
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
Fresher and professionals with minimum 2 years work experience 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 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.
4,95,000 + taxes (without hostel)
Batch Start Date
Batches start on 24th October 2018
i. Online Application can be purchased by paying Rs. 1000
6,55,000 + taxes (with hostel)
PROGRAMMING FOR DATA SCIENCE (USING R AND PYTHON)
EXPLORATORY DATA ANALYSIS
DATA SCRAPPING AND WRANGLING
STATISTICAL TECHNIQUES FOR DATA SCIENCE
ELECTIVE 1: PRINCIPLES OF MARKETING or FINANCE
BIG DATA TECHNOLOGIES
ADVANCED BIG DATA TECHNOLOGIES
TRANSITION TO CORPORATE-BEHAVIOURAL DEVELOPMENT PROGRAM
ELECTIVE 2: BANKING or MARKETING ANALYTICS
ELECTIVE 3: UNSTRUCTURED DATA ANALYSIS/ LINEAR PROGRAMMING AND OPTIMIZATION/ ROBOTIC PROCESS AUTOMATION
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
Safe driver prediction using machine learning algorithms
Dr. Ramesh Babu
Ph.D, Computer Sc. & Engineering, IIT-Bombay
Mohan Kumar Silaparasetty
B. Tech ( E&ECE) - IIT Kharagpur
Senior Analytics Consultant
Head of Strategic Planning, Wells Fargo
CSO, Fractal Analytics
Dr. Suman Katragadda
Analytics Thought Leader
Limited Batch Size
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, Unstructured Data Analysis, Robotic Process Automation and Linear Programming.
Preparatory Courses on “Java Programming” and “Advanced Excel”
Perform data analysis, modelling, predictive analysis, and story-telling through data visualization which is crucial to business decision-making.
Understand and use Big Data technologies as enablers to deploy enterprise information management and solve business problems.
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.
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.
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.”
“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.”
“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.”
“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.”
“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.”