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
Data Scientist
Artificial Intelligence Engineer
Data Analyst
Machine Learning Architect


Duration:
4 years (Regular) / 3 years (Lateral Entry)

No. of Semesters:
8 (Regular) / 6 (Lateral Entry)

No. of Seats:
Total - 120 ( NRI Approval Status - Yes , PIO / FN / GULF quota / OCI Approval Status - No)

Eligibility:
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.

Vision

To produce competent industry relevant education, skillful research, technical and innovative computer science professionals acquaintance with managerial skills, human and social values.

Mission

M1: To impart technical knowledge through innovative teaching, research, and consultancy.

M2: To develop and to promote student ability thereby to compete globally through excellence in education.

M3: To facilitate the development of academic-industry Collaboration.

M4: To produce competent engineers with professional ethics, technical competence and a spirit of innovation and managerial skills.

Program Educational Objectives(PEO)

PEO1: To acquire technical knowledge and proficiency required for the employment and higher education in the contemporary areas of computer science or management studies.

PEO2: To apply their competency in design and development of innovative solutions for real-world problems.

PEO3: To demonstrate leadership qualities with high ethical standards and collaborated with other industries for the socio-economical growth of the country.

Program Outcomes(PO)

PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO2: Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO3: Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

PO4: Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

PO5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

PO6: The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

PO7: Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO 9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10: Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

PO11: Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PO12: Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Program Specific Outcomes(PSO)

PSO1: Ability to apply the analytical and business skills to provide sustainable solutions as an engineer/researcher for the real-time applications using Machine Learning, Internet of Things and Data analytics.

PSO2: Ability to practice ethical and human values with soft-skills qualities in computer science and business disciplines to emerge as an entrepreneur for the growth and development of the society.