Tentative Batch Commencement Date is 2nd April 2025, Apply Now!

Executive MTech in Data Science and Data Analytics

The Executive MTech in Data Science and Data Analytics is designed to provide students with a comprehensive understanding and skills in the fields of data science and analytics. The curriculum of Executive MTech in Data Science and Analytics focuses on teaching students to harness the power of data, employ analytics techniques, and apply these in real-world settings. Students will gain expertise in data handling, analysis, interpretation, and decision-making support, crucial for today’s data-driven world.

Program Objectives

Learning Formula

To provide an understanding of fundamental statistical concepts and their application in data analysis.

Learning Formula

To develop skills in handling and analyzing large datasets using Big Data tools and platforms.

Learning Formula

To learn about various Big Data processing techniques and their applications in real-world scenarios.

Learning Formula

To explore various data mining algorithms and their applications in solving real-world problems.

Learning Formula

Equip students with an in-depth understanding of advanced statistical modeling techniques and their applications.

Learning Formula

Develop proficiency in interpreting complex data sets using modern statistical methods.

Learning Formula

Enhance skills in selecting and applying appropriate statistical models for various types of data and research questions.

Learning Formula

Foster critical thinking and analytical skills for evaluating model performance and validity.

Program Highlights



An esteemed certification, campus immersion & alumni status from IIT Bhilai
Learn through Virtual Instructor-Led Training (VILT)
Explore top-notch learning with industry experts

WHO IS THIS PROGRAM FOR?

  • Professionals who are already working in technology-related fields, including IT professionals, software engineers, and data science experts this program provides an opportunity to deepen their expertise.
  • Entrepreneurs, innovators, tech enthusiasts & engineers eager to master the field of Data Science and Data Analytics.
  • Individuals passionate about this field and wants to stay ahead in the digital age.
  • Engineers and software developers seeking a deep understanding of Data Science and Analytics will find this program invaluable for honing their skills.
  • Ability to apply data science techniques to extract meaningful information from data.
  • Development of a critical approach to evaluating data sources, data quality, and analytical methods.
  • Ability to apply statistical concepts and techniques for data analysis.
  • Capability to select and apply the correct statistical methods for different types of data.
  • Ability to identify and utilize appropriate Big Data tools for different types of data and analysis tasks.
  • Awareness of ethical, security, and privacy concerns in Big Data and the ability to address them in professional practices.
  • Ability to apply advanced statistical models to analyze real-world data.
  • Proficiency in using statistical software for model building and interpretation.
  • Skills in critically assessing the suitability and effectiveness of different statistical models.
  • Competence in communicating statistical findings effectively to both technical and non-technical audiences.

Course Structure

Course Code Course Name
DSDA01 Foundations of Data Science
DSDA02 Statistical Methods for Data Analysis
DSDA03 Introduction to Machine Learning
Course Code Course Name
DSDA04 Big Data Technologies
DSDAEXX Elective in Machine Learning
DSDAEXX Elective in Advanced Analytics (or) Campus Immersion
Course Code Course Name
DSDAEXX Expertise-Oriented Electives
DSDAEXX Elective-4 (Any)
DSDAP01 Minor Thesis
Course Code Course Name
DSDAEXX Elective-5 (Any)
DSDAP02 Major Thesis
Category Sem Course Code Course Name
Elective in Advanced Analytics 2/3/4 DSDAE01 Text Mining and Natural Language Processing
2/3/4 DSDAE02 Time Series Analysis and Forecasting
2/3/4 DSDAE04 Advanced Statistical Modeling
2/3/4 DSDAE05 Data Analytics in the Cloud
Elective in Machine Learning 2 DSDAE06 Deep Learning
2 DSDAE07 Computer Vision
3/4 DSDAE08 Reinforcement Learning
3/4 DSDAE03 ML Systems Design
Expertise-Oriented Electives 3/4 DSDAE11 Business Intelligence and Analytics
3/4 DSDAE12 Security and Privacy of Machine Learning
3/4 DSDAE13 Data Governance and Compliance
3/4 DSDAE14 Advanced Data Visualization Techniques
3/4 DSDAE15 Data-Driven Decision Making
Elective courses are offered based on the availability of faculty members.

Course Fees

Executive MTech in Data Science and Data Analytics
Application Fee (Non Refundable ) 5,000
Admission Fee Instalment 1 Instalment 2 Instalment 3 Instalment 4
91,250 91,250 91,250 91,250
Total Fee (Excluding Optional Fee) 3,70,000


Optional :

Executive MTech in Data Science and Data Analytics Sem 1 Sem 2 Sem 3 Sem 4
Optional Virtual Labs 4,000 4,000 – –
Optional Campus Immersion Fee – 10,000 – 10,000
Optional Institute Alumni Fee – – – 6,000
Total Optional Fee 34,000

Refund Policy:

  • Application/Registration fees is non-refundable.
  • Fees will be collected only after IIT Bhilai confirms the batch start date.
  • 90% refund of the paid Course fee is applicable if requested on or before 30 days of the batch commencement date.
  • No refund will be provided on or after the batch commencement date.

Program Certificate

Executive MTech in Data Science and Data Analytics

Admission Process


  • 1

    Online Application

  • 2

    Payment of Application Fees
    (Non Refundable)

  • 3

    Document Verification

  • 4

    Shortlisting based on work and educational profile

  • 5

    Payment of Admission Fees

  • 6

    Acknowledgement