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B.Sc Computer Science with specialisation in Artificial Intelligence and Machine Learning

VISION

Aims to provide quality education in the field of Artificial Intelligence with state of art
facilities and handle quality research in association with industry and other Universities to
produce well trained IT professionals in Machine Learning domain.

MISSION

  •  To provide knowledge through teaching and training in the field of Artificial
    Intelligence and Machine Learning.
  • To concentrate on teaching-learning, research, project and consultancy help to
    increase the growth of Artificial Intelligence.
  • To train students to get best opportunities and tackle challenges in IT industry.
  • To equip students with communication skill, Leadership quality, ability to work with
    team help to improve the society.
  • To provide value based and technical oriented related students help to build the
    nation.

Programme Educational Objectives (PEOs)

PROGRAMME EDUCATIONAL OBJECTIVES (PEO)

PEO 1: Graduates will have solid basics in Mathematics, Programming, Machine Learning, Artificial Intelligence fundamentals and advancements to solve technical problems.

PEO 2: Graduates will have the capability to apply their knowledge and skills acquired to solve the issues in real world Artificial Intelligence and Machine learning areas and to develop feasible and reliable systems.

PEO 3: Graduates will have the potential to participate in life-long learning through the successful completion of advanced degrees, continuing education, certifications and /or other professional developments.

PEO 4: Graduates will have the ability to apply the gained knowledge to improve the society ensuring ethical and moral values.

PEO 5: Graduates will have exposure to emerging cutting-edge technologies and excellent training in the field of Artificial Intelligence & Machine learning.

Programme Outcomes (POs) & Programme Specific Outcomes(PSOs)

PROGRAMME OUTCOMES (PO)

PO 1: Develop knowledge in the field of AI & ML courses necessary to qualify for the degree.

PO 2: Acquire a rich basket of value-added courses and soft skill courses instilling self-confidence and moral values.

PO 3: Develop problem solving, decision making and communication skills.

PO 4: Demonstrate social responsibility through Ethics and values and Environmental Studies related activities in the campus and in the society.

PO 5: Strengthen the critical thinking skills and develop professionalism with the state of art ICT facilities.

PO 6: Quality for higher education, government services, industry needs and start up units through continuous practice of preparatory examinations.

PO 7: Gain inter-disciplinary, multi-disciplinary competence as value additions.

PROGRAM SPECIFIC OUTCOMES (PSO)

PSO 1: Ability to analyze a problem, and identify and define the AI & ML requirements appropriate to its solution.

PSO 2: Ability to design, implement, and evaluate a Machine learning system, process, component, or program to solve the given problem.

PSO 3: Ability to communicate effectively through oral and written means.

PSO 4: Ability to work in a team to achieve a common goal.

PSO 5: Enhanced communication and leadership abilities and ability to work and learn in team environment.

PSO 6: Understand the needs of society and sensitivity to societal responsibilities.

Curriculum & Syllabus

CURRICULUM & SYLLABUS

MINIMUM CREDITS TO BE EARNED: 140

CategoryCode NoCourseHours/WeekCredits
LectureTutorialPractical
LANG23LTAM11/
23LHIN11/
23LFRE11
Tamil- I/
Hindi-I / French-I
3003
ENG23LENG21English- I3003
CORE23CBAL11Object Oriented Programming using Python4105
CORE23CBAL12Artificial Intelligence3104
CORE23PBAL11Python Programming Lab0042
CORE23BMA001Mathematics – I4004
AECC23AECS11Communication Skills1022
SECOrientation/Induction
programme / Life
skills
----
TOTAL182623

 

View full course curriculum

Eligibility Criteria

ProgramProgram Duration (Year)EligibilityCriteria for Merit
B.Sc Computer Science with specialisation in Artificial Intelligence and Machine Learning3 Years (6 Semesters)"Pass in (10+2) or equivalent with Maths/ Computer Science/ Business Maths/ Statistics/Information Practices/Computer Applications/Information Technology/Artificial Intelligence

Lateral Entry - Pass in Diploma in Computer Science/ECE/Information Technology/Computer Technology"


Merit based on the percentage of marks secured in the qualifying examination

Career Prospects

 

CAREER PROSPECTS

 

 

  • Robotics Programmer
  • Video Game Programmer
  • Data Scientist
  • Software Engineer
  • Machine Learning Researcher
  • Business Intelligence Developer
  • Statistical Analyst

Fee Structure

Tuition Fee 2024 - 2025 (Per Sem)Other Fee (Per Sem)
Total Fee 2024 - 2025 (Per Sem)
37,00022,00059,000