M.Tech in Data Science Engineering Syllabus

M.Tech in Data Science

LABORATORY

M.Tech in Data Science Engineering Syllabus

Department Overview

The Computer Science Engineering program focuses on developing knowledge and practical expertise required to design computing systems, develop software and hardware solutions, and innovate using emerging technologies. The department emphasizes strong academic foundations, hands-on laboratory work, internships, and industry-oriented learning supported by experienced faculty and innovation-driven academic practices.

Program Overview

The M.Tech in Data Science is a postgraduate program designed to provide advanced knowledge and practical expertise in data analytics, computational techniques, and large-scale data processing. The program integrates theoretical understanding with practical applications enabling students to analyze, interpret, and derive insights from complex datasets across multiple domains.

Program Highlights / Key Features

  1. Industry-aligned curriculum
  2. Hands-on analytics and visualization training
  3. Exposure to Artificial Intelligence and machine learning
  4. Research-oriented learning approach
  5. Real-world data problem solving
Curriculum & Learning Areas
Industry Exposure & Practical Learning
Career Opportunities
Why Choose This Program at Indus University
Eligibility Criteria
Admission Process

Curriculum & Learning Areas

Core Technical Areas

  1. Data analytics tools and techniques
  2. Data collection and management
  3. Statistical modeling
  4. Predictive analytics
  5. Data visualization and reporting

Advanced / Emerging Areas

  1. Big data analytics
  2. Machine learning applications
  3. Artificial Intelligence techniques
  4. Computational data modeling

Industry Exposure & Practical Learning

  1. Practical work with real-world datasets
  2. Analytics tool-based training\
  3. Research dissertation project
  4. Application-oriented analytical projects

Career Opportunities

Job Roles

  1. Data Scientist
  2. Data Analyst
  3. Machine Learning Engineer
  4. AI Specialist
  5. Business Intelligence Analyst
  6. Data Engineer

Career Sectors

  1. Information Technology
  2. Finance and banking
  3. Healthcare analytics
  4. E-commerce industry
  5. Consulting and analytics services

Why Choose This Program at Indus University

  1. Industry-aligned curriculum
  2. Hands-on analytics learning
  3. Exposure to AI and big data technologies
  4. Research and dissertation opportunities

Eligibility Criteria

M.Tech Programs

Candidate must hold a Bachelor’s degree in a relevant Engineering/Technology discipline or an equivalent qualification with minimum 50% aggregate from a recognized university as per university norms.

GATE-qualified candidates will be given preference / admission considered based on a valid GATE score as applicable under admission guidelines.

Program Duration

2 Years (4 Semesters)

Admission Process

Admissions are conducted as per guidelines of the Admission Committee for Professional Courses (ACPC) and university norms.

A portion of seats is filled through centralized merit-based admission, while remaining seats are filled under Management Quota as per applicable regulations.


Core Technical Areas

  1. Data analytics tools and techniques
  2. Data collection and management
  3. Statistical modeling
  4. Predictive analytics
  5. Data visualization and reporting

Advanced / Emerging Areas

  1. Big data analytics
  2. Machine learning applications
  3. Artificial Intelligence techniques
  4. Computational data modeling
  1. Practical work with real-world datasets
  2. Analytics tool-based training\
  3. Research dissertation project
  4. Application-oriented analytical projects

Job Roles

  1. Data Scientist
  2. Data Analyst
  3. Machine Learning Engineer
  4. AI Specialist
  5. Business Intelligence Analyst
  6. Data Engineer

Career Sectors

  1. Information Technology
  2. Finance and banking
  3. Healthcare analytics
  4. E-commerce industry
  5. Consulting and analytics services
  1. Industry-aligned curriculum
  2. Hands-on analytics learning
  3. Exposure to AI and big data technologies
  4. Research and dissertation opportunities

M.Tech Programs

Candidate must hold a Bachelor’s degree in a relevant Engineering/Technology discipline or an equivalent qualification with minimum 50% aggregate from a recognized university as per university norms.

GATE-qualified candidates will be given preference / admission considered based on a valid GATE score as applicable under admission guidelines.

Program Duration

2 Years (4 Semesters)

Admissions are conducted as per guidelines of the Admission Committee for Professional Courses (ACPC) and university norms.

A portion of seats is filled through centralized merit-based admission, while remaining seats are filled under Management Quota as per applicable regulations.

FAQs

  1. What career opportunities are available after M.Tech Data Science?

    Graduates can work as data scientists, analysts, machine learning engineers, and AI professionals across industries.

  2. Does the program include practical data analysis training?

    Yes, students work with real datasets and analytics tools.

  3. Is research included in the program?

    Yes, students complete a dissertation addressing real-world data problems.

  4. Why is Data Science in demand?

    Organizations rely on data-driven decision making, creating strong demand for skilled professionals.

Department Activities

Training & Awareness Program on First Aid & Basic Life Support

Shaping the Future with Semiconductors

The Department of Electronics & Communication, IITE, Indus University successfully organized a Two-Day National Level Workshop on “Semiconductor Design and Applications” on 29–30 January 2026, sponsored by GUJCOST and conducted in collaboration with eInfochips (An Arrow Company), Ahmedabad. The workshop offered rich insights into VLSI design, fabrication, packaging, and real-world semiconductor applications, making it highly informative and impactful for students.
Training & Awareness Program on First Aid & Basic Life Support

Alumni Talk Highlight

The Department of Computer Science & Engineering successfully organized an Alumni Talk on “Global Tech Career Roadmap” on 29th January 2026. The session was led by Mr. Sneh Patel (Alumnus 2019–2023, CSE), currently working as a Software Development Engineer at Google (USA). He shared valuable insights on global tech careers, industry expectations, essential skills, and his inspiring journey from campus to Google. The talk was highly informative and motivating, helping students gain clarity on career planning and growth in the software industry.
Training & Awareness Program on First Aid & Basic Life Support

Winter School–2025

Winter School–2025 | Civil Engineering | Indus University Winter School–2025, conducted from 08–13 December 2025, offered a week of skill development and hands-on learning for B.Tech and Diploma students. The program included expert talks and alumni interactions, along with personality development sessions and exposure to emerging technologies in civil engineering. Industrial visits to Pidilite Advanced Skills Center and Institute of Seismological Research gave students valuable industry and research insights. Overall, Winter School–2025 enhanced students’ skills, confidence, and career readiness, bridging academics with real-world applications.