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.
M.Tech in Data Science at Indus University, Ahmedabad is a 2-year postgraduate program that combines computer science, statistics, and artificial intelligence to train students in big data analytics, machine learning, deep learning, data visualization, cloud computing, natural language processing (NLP), and business intelligence for data-driven decision-making.
Applicants must have a B.E. or B.Tech in Computer Science, Information Technology, Electronics, or MCA/M.Sc. in Computer Science or related field from a recognized university with a minimum of 50% marks. Admission is based on GATE score, ACPC process, or university entrance examination.
Students at Indus University learn Python, R, SQL, Scala, TensorFlow, PyTorch, Keras, Apache Spark, Hadoop, Tableau, Power BI, scikit-learn, and cloud platforms like AWS, Azure, and Google Cloud, giving them comprehensive technical skills demanded by the data science industry.
Graduates can pursue careers as Data Scientists, Machine Learning Engineers, AI Engineers, Business Intelligence Analysts, Data Architects, Big Data Engineers, NLP Engineers, and Research Scientists. Top recruiters include Google, Amazon, Microsoft, TCS, Infosys, Wipro, Flipkart, and leading analytics and consulting firms.
Indus University offers an industry-driven M.Tech Data Science curriculum developed with inputs from IT and analytics companies, modern AI and data science labs, experienced faculty with research and industry expertise, hands-on capstone projects, internship opportunities, and an active placement cell with connections to top tech employers.
Yes, AI and ML form the core of the M.Tech Data Science curriculum at Indus University. Students learn supervised and unsupervised learning, deep neural networks, reinforcement learning, computer vision, generative AI, model deployment, and MLOps, ensuring comprehensive coverage of the AI/ML landscape.
M.Tech Data Science at Indus University is specifically focused on data analytics, statistical modeling, machine learning, and data-driven insights, while M.Tech Computer Science covers a broader range of computer science topics. Data Science is more industry-aligned for roles in analytics, AI, and business intelligence sectors.
Yes, Indus University integrates real-world industry projects, capstone assignments, hackathons, and internship programs into the M.Tech Data Science curriculum. Students work on datasets from real industries, collaborate with companies on research problems, and build a strong portfolio before graduation.
M.Tech Data Science graduates are among the highest-paid professionals in India's tech industry. Data scientists from quality programs command average starting salaries ranging from ₹6 LPA to ₹18 LPA, with experienced professionals earning significantly more. Indus University's placement cell works actively to connect students with top-paying employers in the data and AI space.
Data Science is one of the fastest-growing fields globally. With the explosive growth of AI, cloud computing, IoT, and digital transformation across industries, M.Tech Data Science graduates from Indus University are positioned to take advantage of opportunities in healthcare analytics, fintech, e-commerce, smart manufacturing, cybersecurity analytics, and government data projects in India and globally.
