Announcement
Get Ready for INDUS CUP 2K26! | Dates: 5–10 January 2026 | Stand a Chance to Win Cash Prizes up to ₹10,00,000!...Read more Get Ready for INDUS CUP 2K26! | Dates: 5–10 January 2026 | Stand a Chance to Win Cash Prizes up to ₹10,00,000!
We are excited to announce the Indus Hackathon 2025, an exhilarating one-day event organized by the CSE Department of Indus University....Read more We are excited to announce the Indus Hackathon 2025, an exhilarating one-day event organized by the CSE Department of Indus University.
26th ISTE Faculty Annual State Convention will be held at Indus University on April 27, 2023....Read more 26th ISTE Faculty Annual State Convention will be held at Indus University on April 27, 2023.
Get Ready for INDUS CUP 2K26! | Dates: 5–10 January 2026 | Stand a Chance to Win Cash Prizes up to ₹10,00,000!...Read more Get Ready for INDUS CUP 2K26! | Dates: 5–10 January 2026 | Stand a Chance to Win Cash Prizes up to ₹10,00,000!
We are excited to announce the Indus Hackathon 2025, an exhilarating one-day event organized by the CSE Department of Indus University....Read more We are excited to announce the Indus Hackathon 2025, an exhilarating one-day event organized by the CSE Department of Indus University.
26th ISTE Faculty Annual State Convention will be held at Indus University on April 27, 2023....Read more 26th ISTE Faculty Annual State Convention will be held at Indus University on April 27, 2023.
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.
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.
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.
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.
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.
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.
The M.Tech in Data Science is a 2-year postgraduate program that integrates computer science, statistics, artificial intelligence, and machine learning to develop expertise in big data analytics, predictive modeling, data visualization, and cloud computing.
Applicants must possess a B.E. or B.Tech degree in Computer Science, Information Technology, Electronics, or an MCA/M.Sc. in Computer Science with a minimum of 50% aggregate marks.
Students gain hands-on experience with Python, R, SQL, Scala, TensorFlow, PyTorch, Keras, Apache Spark, Hadoop, Tableau, Power BI, and cloud platforms such as AWS and Microsoft Azure.
Graduates can pursue roles as Data Scientists, Machine Learning Engineers, AI Engineers, Business Intelligence Analysts, Data Architects, Big Data Engineers, and Analytics Consultants across multiple industries.
Indus University collaborates with an extensive network of top-tier corporate partners to provide exceptional career opportunities across multiple industries, featuring technology and IT leaders like Amazon, Oracle, Capgemini, e-Infochips, Synoptek, and Rishabh Software. Our engineering, automotive, and manufacturing recruiters include industry giants such as Tata Motors, Siemens, Audi, Kia, SKF, Bridgestone, POSCO, and Adani GAS, while the banking and insurance sectors are strongly represented by IndusInd Bank, IDFC First Bank, Capital First, Bajaj Allianz, and Apollo Munich Health Insurance. Additionally, our students secure dynamic roles with prominent organizations in healthcare, pharmaceuticals, and consumer retail, including Cadila Pharmaceuticals, eClinicalWorks, Godrej, JSW Paints, Decathlon, and Jaro Education, ensuring a comprehensive and robust placement ecosystem for all our graduates.
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