IIT Gandhinagar Launches e-Masters Course In Data Science For Decision Making
IIT Gandhinagar Launches e-Masters Course In Data Science For Decision Making
The curriculum is crafted by subject matter experts from IIT Gandhinagar.

The Indian Institute of Technology Gandhinagar (IIT Gandhinagar) has launched the e-Masters Program in Data Science for Decision Making (DSDM). This program represents an initiative to bridge the gap between data science prowess and the art of making strategic decisions. The duration of the Data Science for Decision Making course is two years and the first batch of this program will commence in May 2024. It is important to note that the GATE score is not required for admission to IIT Gandhinagar.

Talking about the admission process, the selection of the candidates is based on academic and professional background and interviews. If required, a written test may complement the selection process, the institution stated.

IIT Gandhinagar Data Science Course: Eligibility Criteria

Applicants must have passed Class 12 with Mathematics as a subject. They should also possess a graduate degree with a minimum of 60 per cent marks or 6.0/10 CPI in relevant fields such as Mathematics/ Statistics/ Engineering/ Computer Science/ Science/ Technology/ Economics/ and Commerce.

IIT Gandhinagar Data Science Course: Fee Structure

Students need to pay an application fee of Rs 1000 during application submission. Other than this, the course fee is Rs 8,25,000 and the breakdown of the fee structure for candidates opting to complete the program is as follows:

Registration Fee (To be paid within two weeks of the selection): Rs 1,50,000

Tuition Fee (To be paid at the beginning of every module):

Module 1: Rs 2,00,000

Module 2: Rs 1,75,000

Module 3: Rs 1,50,000

Module 4: Rs 1,50,000

IIT Gandhinagar Data Science Course: Topics Covered

A meticulously developed curriculum, crafted by subject matter experts from IIT Gandhinagar, seamlessly integrates in-depth theoretical knowledge with extensive practical application to nurture expertise effectively.

Mathematical Models for Data Science

Advanced Probability and Statistics

Programming for Data Science

Time Series Analysis

Optimisation for Data Science and Machine Learning

Risk and Decision Analysis

Machine Learning for Predictive Analysis

Spatial Data Science and Applications

Advanced-Data Visualisation Techniques

Big Data Modeling and Management Systems

Generative AI with Large Language Models

Writing and Leadership

Projects Course – I

Projects Course – II

For further information, candidates can email [email protected] or contact the college at 792395 2196/97 or 7069021574.

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