B. Sc. Artificial Intelligence and Machine Learning

The Bachelor of Science in Artificial Intelligence and Machine Learning (AI/ML) program addresses the compelling need for skilled professionals in a world increasingly shaped by technological advancements. As AI and ML technologies become integral to various industries, from healthcare and finance to manufacturing and beyond, there is a growing demand for individuals with a deep understanding of these cutting-edge fields. The program's significance lies in its ability to equip students with a robust foundation in AI and ML, empowering them to harness the potential of intelligent systems, automation, and data-driven decision-making. Graduates from this program will possess the skills to design, develop, and deploy AI/ML solutions, contributing to innovation and efficiency across diverse sectors. With the transformative impact of AI and ML on business operations, research, and societal challenges, the Bachelor of Science in AI/ML stands at the forefront, preparing the next generation of professionals to navigate and shape the future of technology. The program not only meets the current industry demand but also plays a pivotal role in advancing the frontiers of knowledge and application in these rapidly evolving fields.

The career prospects for graduates holding a Bachelor of Science in Artificial Intelligence and Machine Learning (AI/ML) are exceptionally promising in the current technological landscape. With industries increasingly relying on data-driven insights and intelligent automation, professionals with expertise in AI/ML are in high demand. Graduates from this program can pursue diverse career paths, including roles such as AI/ML engineers, data scientists, machine learning developers, research scientists, and AI consultants. Opportunities span across various sectors, including healthcare, finance, e-commerce, technology, and more. The ability to design and implement AI/ML solutions provides graduates with a competitive edge, positioning them as valuable contributors to innovation and efficiency in organizations. The continuous evolution of AI and ML technologies ensures that career prospects will remain robust, with opportunities for specialization and leadership roles. The Bachelor of Science in AI/ML program not only aligns with the current needs of the industry but also empowers graduates to shape the future of artificial intelligence and machine learning through their expertise and innovative contributions.

Laptops are strongly recommended for the students to facilitate Practical Work, Simulations and research

Eligibility Any student who has passed PUC/10+2/Pre-University equivalent courses in Science and Mathematics securing a minimum of 40% of marks is eligible.

Why Kristu Jayanti College for B. Sc. Artificial Intelligence and Machine Learning?

  • Cutting-edge Curriculum: Kristu Jayanti College offers a B. Sc in Artificial Intelligence and Machine Learning program with a curriculum at the forefront of industry trends. The program is designed to equip students with the latest skills and knowledge required in the rapidly evolving fields of AI and ML.
  • Experienced Faculty: The college boasts a team of experienced faculty members who are not only well-versed in the theoretical aspects of AI/ML but also bring practical industry experience. This ensures that students receive comprehensive and insightful guidance throughout their academic journey.
  • State-of-the-Art Facilities: Kristu Jayanti College provides state-of-the-art infrastructure, including well-equipped AI/ML labs and resources. Students have access to cutting-edge tools and technologies used in the industry, fostering hands-on learning and experimentation.
  • Internship and Placement Support: The college has strong ties with industry partners, facilitating internship programs and ensuring robust placement support. Students benefit from real-world experience and have enhanced opportunities for securing rewarding positions in top organizations upon graduation.
  • Research Opportunities: Kristu Jayanti College encourages a culture of research and innovation. Students have the opportunity to engage in research projects, keeping them abreast of the latest developments and contributing to the advancement of AI/ML knowledge.
  • Industry Collaboration: The college actively collaborates with industry leaders, organizing guest lectures, workshops, and seminars that expose students to practical challenges and solutions in the field. This collaboration enhances the program's relevance and ensures alignment with industry expectations.
  • Holistic Development: Beyond technical skills, Kristu Jayanti College focuses on the holistic development of students. Various extracurricular activities, cultural events, and clubs contribute to a well-rounded educational experience.
  • Networking Opportunities: The college provides networking opportunities with alumni and professionals in the AI/ML field. This facilitates valuable connections for students, offering insights into potential career paths and fostering a sense of community within the industry.
  • Global Outlook: Kristu Jayanti College emphasizes a global perspective in the AI/ML program, preparing students to tackle challenges on an international scale. This approach ensures that graduates are not only technically proficient but also capable of navigating the complexities of a globalized industry.

  Course Matrix

Semester

Course Title

Course Type

Credits

I

C Programming

DSC

4

I

C Programming Practical

DSC

2

I

Relational Database Management System

DSC

4

I

Relational Database Management  Practical

DSC

2

I

Mathematical Foundation for AI/ML

DSC

4

II

Data Structure

DSC

4

II

Data Structure Practical

DSC

2

II

Probability Statistics using R

DSC

4

II

Probability Statistics using R Practical

DSC

2

II

Operating System and Networks

DSC

4

III

Java Programming

DSC

4

III

Java Programming Practical

DSC

2

III

Calculus & Linear Algebra

DSC

4

III

Calculus & Linear Algebra Practical

DSC

2

III

Artificial Intelligence & Machine Learning Fundamentals

DSC

4

III

NPTEL

SEC

2

IV

Python Programming

DSC

4

IV

Python Programming Practical

DSC

2

IV

Statistical Inference

DSC

4

IV

Statistical Inference Practical

DSC

2

IV

Cloud Computing Techniques

DSC

4

IV

Online Certificate Course

SEC

2

V

Machine Learning Techniques

DSC

4

V

Machine Learning Techniques Practical

DSC

2

V

DevOps and MLOps

DSC

4

V

DevOps and MLOps Practical

DSC

2

V

Research Methodology

DSC

4

V

Optimization Techniques

DSE

4

VI

Natural Language Processing

DSC

4

VI

Natural Language Processing Practical

DSC

2

VI

IoT and Edge Analytics

DSC

4

VI

IoT and Edge Analytics Practical

DSC

2

VI

Social Network Analysis

DSC

4

VI

Responsible AI

DSE

4

VI

Projects

DSE

4

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