M.Kumarasamy College of Engineering (MKCE) is proud to have an innovative B. E CSE (AI&ML) program in collaboration with International Business Machines (IBM). Additionally, this ground-breaking program commenced during the academic year 2021 and aims to prepare students for the ever-evolving landscape of Artificial Intelligence & Machine Learning.
Program Overview
Generally, this program explores the vast potential of the Internet, leveraging Artificial Intelligence & Machine Learning to provide data-driven solutions using computational principles, methods, and systems. Hence, the goal is to extract valuable information from data, employing modern computational systems that emulate the capabilities of human intelligence.
Objectives
Above all, the primary objectives of the course are to provide students with complete knowledge and practical applications in the field of Artificial Intelligence & Machine Learning. Further, the focus is on training students to perform intelligent data analysis, a key component in numerous real-world applications.
Career Opportunities
Moreover, upon completion of the program, graduates can explore various career paths, including:
- Machine Learning Engineer
- Data Scientist
- Artificial Intelligence Engineer
- Data Analyst
- Machine Learning Architect
Program Details
- Duration: 4 years (Regular) / 3 years (Lateral Entry)
- No of Semesters: 8 (Regular) / 6 Years (Lateral Entry)
- Eligibility: 10+2 system of Education. Also, successful completion of Physics, Chemistry, and Mathematics in the qualifying examination is required. Additionally, graduates of the program have the opportunity to further their studies with options like M.E., M. Tech., M.B.A., or M.S. to further enhance their expertise in the field.
Our Vision
To become a renowned hub for AIML technologies to producing highly talented globally recognizable technocrats to meet industrial needs and societal expectations.
Mission of the Department
M1: To impart advanced education in AI and Machine Learning, built upon a foundation in Computer Science and Engineering.
M2: To foster Experiential learning equips students with engineering skills to tackle real-world problems.
M3: To promote collaborative innovation in AI, machine learning, and related research and development with industries.
M4: To provide an enjoyable environment for pursuing excellence while upholding strong personal and professional values and ethics.
Program Educational Objectives (PEOs)
- PEO1: Excel in technical abilities to build intelligent systems in the fields of AI & ML in order to find new opportunities.
- PEO2: Embrace new technology to solve real-world problems, whether alone or as a team, while prioritizing ethics and societal benefits.
- PEO3: Accept lifelong learning to expand future opportunities in research and product development.
Program Outcomes (POs)
- Firstly, apply foundational knowledge to solve intricate engineering problems.
- Conduct thorough analysis and develop solutions while prioritizing safety and sustainability factors.
- Conduct research-based investigations.
- Proficient use of modern engineering tools.
- Apply ethical principles.
- Excel in teamwork and communication.
- Demonstrate project management skills.
- Emphasize life-long learning for continuous adaptation in the evolving technological landscape.
Program Specific Outcomes (PSOs)
PSO1: Expertise in tailoring ML algorithms and models to excel in designated applications and fields.
PSO2: Ability to conduct research, contributing to machine learning advancements and innovations that tackle emerging societal challenges.
To conclude
Thus, M.Kumarasamy College of Engineering (MKCE) stands as the epithet of excellence in Artificial Intelligence & Machine Learning education. Hence, with an innovative curriculum, cutting-edge facilities like the AI Laboratory powered by IBM, and a faculty committed to impactful research, MKCE offers students an all-inclusive learning experience.
