Artificial Intelligence and Data Science
Department of Artificial Intelligence and Data Science
M Kumarasamy College of Engineering (MKCE) proudly launches an innovative B.Tech - Artificial Intelligence and Data Science (AI & DS) Programme in association with International Business Machines (IBM) during the academic year 2020 - 21. Due to the exploration of the Internet, AI and DS deliver data-driven solutions using computational principles, methods, and systems for extracting information from data and modern computational systems that reveal capabilities of insight, way of thinking, learning and action that are typical of human intelligence. This course has been introduced to the students with the vision to provide them with holistic knowledge and applications in the field of AI and DS.
The basic objectives of this course are to train the students to acquire the skills to perform intelligent data analysis which is a key component in numerous real-world applications. With the tremendous amount of data generated every day and the computing power available, Data Science plays a seminal role in helping every business organization in identifying business trends and changes through advanced Big Data Analytics. Interpretation and prediction of business results and the future are no longer rocket science with a variety of techniques and tools such as statistical analysis, data aggregation, and data mining.
The career path you can choose after the course
Machine Learning Engineer
Artificial Intelligence Engineer
Machine Learning Architect
4 years (Regular) / 3 years (Lateral Entry)
No. of Semesters:
8 (Regular) / 6 (Lateral Entry)
No. of Seats:
Total - 60 ( NRI Approval Status - Yes , PIO / FN / GULF quota / OCI Approval Status - No)
10+2 system of Education. Must have secured a pass in Physics, Chemistry and Mathematics in the qualifying examination.
Scope for Higher Studies:
M.E. / M.Tech. / M.B.A./ M.S.
To reach excellent standards of quality-education by using latest tools and to be the centre of excellence by promoting knowledge centric education, innovation and state-of-art research in the field of Artificial Intelligence and Data Science.
• To impart quality and value based education and contribute towards the innovation of computing, expert system, Data Science to raise satisfaction level of all stakeholders.
• To educate the future Computing engineers with strong fundamentals by continuously improving the teaching learning methodologies using contemporary aids.
• Enabling students to get expertise in critical skills with Artificial Intelligence domain and facilitate socially responsive research and innovation.