Master of Technology (M.Tech.) Information Technology (Data Analytics)

In the data-centric digital economy of today, enterprises from all types of industries are increasingly dependent on digital assistants for making strategic decisions, achieving efficiency in operations, optimising customer experience, and gaining competitive advantages. This programme has been designed in response to the increasing worldwide demand for data analytics professionals.

Master of Technology (M.Tech) in Information Technology (Data Analytics) integrates essential information technology principles with emerging analytics tools. Students develop a firm grounding in programming, database systems, statistical modelling and analysis, data mining, predictive analytics, and cloud-based analytics solutions. The programme focuses on both theoretical knowledge and practical application through the use of case studies, lab work, live projects, and industry internships.

Data is the new currency, as there has been an exponential increase in big data created by digital platforms. These data are also utilised in IOT devices, social media posts, e-commerce sales transactions, health care systems, and financial service systems. The programme equips graduates to thrive in this new age digital world. Students are trained to manage large amounts of structured and unstructured information, analyse data for actionable intelligence and utilise findings to identify trends. This training makes them invaluable to the industry.

What is Data Analytics in IT?

Data Analytics in Information Technology is the analysis of raw data (computer or network-generated) to find patterns and useful information, which can be applied to decision-making. IT infrastructure, software engineering, statistics, and domain knowledge merged with advanced analytic tools/algorithms. When coupled with a master’s-level engineering programme, graduates will gain data analytics training on scalable data solutions design and management of enterprise-wide analytic systems.

Students learn how to:

• Gather, clean, and preprocess large datasets

• Use statistics and a machine learning model

• Develop a predictive and prescriptive analytics solution

• Present data to both business and technical users

• Administer large data warehouses and other Big Data platforms.

• Data security, privacy, and ethical aspects are to be ensured

M.Tech in Information Technology (Data Analytics) Course Highlights

Why Study M.Tech in Information Technology (Data Analytics)?

Strong job market: Data analysis experts belong to the highest-paid engineers in the world.

Future-Ready Skills: AI, Machine Learning, Big Data, and Cloud Analytics Coverage.

Applications in Different Sectors: IT, finance, healthcare, manufacturing, and government.

Research and Innovation: Great for Ph.D. and research careers.

Scope of Global Careers: Skills are applicable worldwide with high international demand.

M.Tech in IT (Data Analytics) Course Syllabus

Top 10 M.Tech in IT (Data Analytics) Colleges in India

Fee Structure for M.Tech in IT (Data Analytics) Colleges in India

Note: The fee structure can depend on the type of institution and seat quota.

Top 10 M.Tech in IT (Data Analytics) Colleges in Karnataka

Fee Structure for M.Tech in IT (Data Analytics) Colleges in Karnataka

Note: The fee structure can depend on the type of institution and seat quota.