PG Program in Data Science
Get ready to RISE in your career with India’s most affordable and industry led PG program in Data Science
In collaboration with
Program Fee- ₹ 1,25,000 + GST*
Format
Online
Duration
11 months
Starting
soon
Hiring partners
1000+
Program fee
₹ 1,25,000 + GST
EMI options
Start at ₹ 5,797/month*
Scholarships
Available*
PG Program in Data Science curated and co-created by industry experts from KPMG in India
Industry certification
Placement and internship support
Designed for graduate students and working professionals
One-on-One mentorship
Comprehensive career guidance
Experiential learning through industry projects
Program Curriculum
Learn industry-relevant skills and build a rewarding career
Tools and Programming Languages
Sample Certificate
What will you get at the end of the program
Who is this program for?
- Data science learning is for everyone.
- Enthusiastic beginners who want to gain knowledge and experience in the field of data science.
- Graduates with zero or no prior knowledge of data science can apply for the course.
- Working professionals can also apply for the course.
- Undergraduates with no previous knowledge of data science can apply for the program.
Capstone Project Examples
We transform classroom learning into real-world application concepts. Our motto is to ensure that all our students graduate from the program with industry-ready skills and hands-on experience. Check out some of our top cases for the capstone project. capstone project.
Domain – Operations
Analyse user behaviour & optimise the user workflow using a machine learning algorithm.
Outline
You will be required to implement an algorithm on user behaviour data on a web page you developed. The primary objective of this project is based on the characteristics. You need to come up with another set of guided navigation, which can lead the user if the user misses steps in a workflow consistently.
Domain – Retails and Sales
Analysis of sales data of retail stores across America using exploratory data analysis and data visualisation.
Outline
You will be analysing the superstore sales data by using technologies such as SQL for exploratory data analysis and Tableau for data visualisation.
Domain – Human Resources
Predict attrition as well as study the underlying factors causing attrition for a global technology company using data visualization and machine learning algorithms.
Outline
We will be looking at the attrition data from a global technology company to predict and analyse the attrition patterns within the firm. You will be using python primarily for data analysis and running different machine learning models for this project to arrive at the cause of attrition as well as a relevant prediction for attrition in the future.
Why choose Data Science as a career?
To become a successful Data Scientist one has to :
- Fortify their understanding of mathematical functions and popular programming languages.
- Learn and become apt in SQL.
- Study and reinforce their knowledge of Machine Learning.
- Get some experience through an internship or as an entry-level data analyst.
- Hone their skills through online certification or specialisation courses. Get enrolled for any online Bootcamp to get well-versed in foundation knowledge of math or computer science.
Here are some of the industry best data science careers one can aim for –
- Data Scientist
- Data Analyst
- Machine Learning Engineer
- Machine Learning Scientist
- Applications Architect
- Data Engineer
- Business Intelligence Developer
- Enterprise Architect
- Infrastructure Architect
- Data Administrator
In upcoming years, breakthroughs in the domain of Artificial Intelligence (AI), Machine Learning, Deep Learning and the Internet of Things will revolutionise the Data Science world. Lots of scientific progress and technological developments will ensure that the future will implore everyone to be a part of Data Science. There will be a lot of scope and opportunities available for budding data scientists ahead in the future.
In India, the average salary of a Data Scientist is around ₹698,412 /per year for 1-4 years of experience. A mid-level data scientist earns around ₹1,004,082/per year and a senior data scientist earns ₹1,700,000/per year.
By 2023, the global data science market is estimated to grow into a $115 billion market. And here are the top industries suitable for Data Science professionals in upcoming market value –
- Retail
- Medicine
- Banking and Finance
- Construction
- Transportation
- Energy
- Telecommunication
- Education
Based on the Glassdoor survey, here are the top companies hiring for a Data Science professional
- Accenture
- Amazon
- Apple
- Fidelity Investments
- Intel
- Microsoft
- PayPal
RISE WPU Learning Outcomes
Become proficient in analytical tools like Excel, Python, Hadoop used widely in the field of business analytics
Demonstrate your skills in applied analytics to gather meaningful insights from raw data.
Test your skills through capstone projects and internships and be industry-ready.
Apply latest machine learning concepts to build effective prediction models that assist in critical decision-making aspects for businesses.
Participate in career development exercises and RISE as a Data Science professional.
Attend webinars, expert sessions and guest lectures to upskill and reskill.
Experts from KPMG in India
Sankaran Venkataramani
Executive Director & Management Consultant, KPMG in India
Dr. Srijith Sreenivasan
Director, KPMG in India
Kaliappan M
Technical Director, KPMG in India
Instructors from KPMG in India
Amit Choudhary
Manager, KPMG in India
Dileesh K V
Manager Business Excellence, KPMG in India
Arun Ravi
Management Consulting, Transformation BE, KPMG in India
Swathi Krishnan R K
Assistant Manager, Business Excellence, KPMG in India
Raynette Furtado
Analyst, KPMG in India
Stephen Myaboo
Associate Consultant, KPMG in India
Kaushik Swaroop
Analyst & Advisory, KPMG in India
