MS in Data Science Programme
A world class master's degree in data science from Northwestern University School of Professional Studies
Curriculum
The first 4 terms (12 months) will cover foundation courses
which will teach data science theory to students. Term 5 onward
students will have the option to select one of two specialization
options - Analytics & Modeling or Artificial Intelligence. There
will be a capstone project towards the end of the degree programme.
MS in Data Science Programme
A world class master's degree in data science from Northwestern University School of Professional Studies
Curriculum
The first 4 terms (12 months) will cover foundation courses which will teach data science theory to students. Term 5 onward students will have the option to select one of two specialization options - Analytics & Modeling or Artificial Intelligence. There will be a capstone project towards the end of the degree programme.
Learn techniques for building and interpreting mathematical models of real-world phenomena. The course will cover linear algebra, discrete mathematics, probability, and calculus, with an emphasis on applications in data science and data engineering.
PG Program in
Data Science and
Business Analytics
Learn Data Science, Business Analytics with India's #1 course and power ahead in your career
Curriculum
The Data Science and Business Analytics course curriculum has been designed in collaboration with faculty from Great Lakes and UT Austin McCombs School of Business. The teaching and content in the course are by faculty from Great Lakes, UT Austin and other practicing data scientists and analytics experts. The capstone projects are approved by Great Lakes and UT Austin McCombs School of Business Faculty.
Data Science Foundations
The Foundations block comprises five courses where we get our hands dirty with the introduction to Data Science, Statistics, Code, SQL Programming, and some domain-specific knowledge head-on. These courses set our foundations so that we sail through the rest of the journey with minimal hindrance.
Practical Decision Making Using Data Science
Leverage the power of Data Science to make decisions. Learn from Asia's No.1 B-School.
Curriculum
The curriculum covers an in-depth and comprehensive journey in Data Science from the lens of a Business Manager. Participants harness the skills required to analyse data and extract information to make sound business decisions and strategies.
PG Program in
Data Science and
Business Analytics
Master Data Science and Analytics and power ahead in your career
Curriculum
The Data Science and Business Analytics course curriculum has been designed in collaboration with faculty from Great Lakes and UT Austin McCombs School of Business. The teaching and content in the course are by faculty from Great Lakes, UT Austin and other practicing data scientists and analytics experts. The capstone projects are approved by Great Lakes and UT Austin McCombs School of Business Faculty.
Data Science and Machine Learning: Making Data-Driven Decisions
Learn to uncover data’s true value and make data-driven business decisions with MIT faculty and mentorship from industry practitioners.
Curriculum
Data Science and Machine Learning Program curriculum has been carefully crafted by MIT faculty to provide you with the skills & knowledge to apply data science techniques to help you make data-driven decisions. Encompass the most business-relevant technologies, such as Machine Learning, Deep Learning, NLP, Recommendation Systems, and more.
Weeks 1-2: Foundations of Data Science
In the first two weeks, we will cover the foundational concepts for data science that form the building blocks of the course and help you sail through the rest of the journey with ease. With guidance from mentors, get up to speed with the statistics and python foundations that will make you ready for the program.
M.Tech in Data Science
Industry oriented Masters degree program for working professionals
Curriculum
The curriculum for the program is a blend of academic courses, data science tools & techniques, and hands-on labs & projects.
- Python basics
- Data structures & handling
- Functions
- Numpy
- Pandas
- Scipy
- Scikit-learn
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