Artificial Intelligence & Machine Learning
About Department
The Department of Artificial Intelligence and Machine Learning (AI & ML) at MEA Engineering
College, affiliated with APJ Abdul Kalam Technological University, Thiruvananthapuram, was
established in 2024. It offers a cutting-edge 4-year B.Tech program aimed at equipping students
with the knowledge and skills needed to excel in the dynamic field of AI and ML. The curriculum
covers emerging technologies such as data science, Internet of Things (IoT), deep learning,
natural language processing, and big data analytics, ensuring students are industry ready.
Our department emphasizes a blend of theoretical foundations and practical applications,
enabling students to understand the principles of AI&ML while also applying them to solve real-
world challenges. Through comprehensive internships, industry collaborations, and specialized
training programs conducted both inside and outside the campus, students gain hands-on
experience and develop essential technical skills.
The Department boasts a team of well-qualified, experienced, and dedicated faculty members
with expertise in a range of AI and ML technologies. Our state-of-the-art laboratories are
equipped with the latest software and hardware, providing students with a conducive
environment to work on cutting-edge projects and innovative solutions.
+91 9745806888
Relevance of Machine Learning
Machine Learning (ML) is transforming industries by enabling data-driven decision-making, automating processes, and driving innovation. Its applications include:
- Data Insights: Analyzing large datasets to uncover trends and optimize decisions.
- Automation: Streamlining tasks in healthcare, finance, and manufacturing.
- Personalization: Enhancing user experiences with tailored solutions.
- Emerging Technologies: Advancing IoT, robotics, and natural language processing.
- Future-Ready Careers: Equipping students with skills for high-demand industries.
ML is the key to solving modern challenges and shaping a smarter, more efficient world. Explore the future with us at MEA Engineering College.
Job Opportunities in Machine Learning
Machine Learning professionals are in high demand across various industries, with roles such as:
- Machine Learning Engineer - Building predictive models and AI systems.
- Data Scientist – Analyzing data for actionable insights.
- AI Specialist - Developing smart solutions in healthcare, finance, and more.
- NLP Engineer - Creating chatbots and language tools.
- IoT Specialist - Integrating AI with smart devices.
Industries hiring include technology, healthcare, finance, e-commerce, and automotive, offering lucrative and impactful career paths.
Program Outcomes (POs)
- Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.
- 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.
- 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 public health and safety, and the cultural, societal, and environmental considerations.
- 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.
- 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.”
- The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent relevant to the professional engineering practice.
- Environment and sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
- Ethics: Apply ethical principles and commitment to professional ethics and responsibilities and norms of engineering practice.
- Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- 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.
- 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 of a team, to manage projects and in multidisciplinary environments.
- 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.
Programme Specific Outcomes (PSO)
- PSO1 : Ability to analyse and apply the knowledge of Artificial Intelligence, Machine Learning and data science in order to solve real world problems
- PSO2 : Ability to develop computational knowledge in the field of deep learning, machine learning and artificial intelligence through innovative tools and techniques
- PSO3: Acquire knowledge in deep learning and machine learning in order to identify current research problems.