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B.C.A. in Industry Oriented Specialization (Artificial Intelligence and Machine Learning)

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B.C.A. in Industry Oriented Specialization (Artificial Intelligence and Machine Learning)

   Department of Computer Applications

Programme Level

Under Graduate

Duration

3 Years

About the Programme

BCA-Artificial Intelligence & Machine Learning is a three-year degree specialized programme in the field of Artificial Intelligence & Machine Learning at undergraduate level and It consisting the all main subnject of computer science such as BCA program. It is intensive skill-oriented program with enough practical training for building models for solving the real time problems. The course curriculum is designed to give exposure to the variety of applications that can be built using techniques covered under this program. The primary objective of this program is to provide instruction for enrolled students about current and emerging AIML-related techniques and theories, including statistics, data mining, data storage, and data visualization.

NOTE: For selected 3 Year Undergraduate programs, you have the option to continue for 4th year to obtain an Honours with Research Degree.

Eligibility

Minimum 50% marks aggregate at XII level (Including English & Maths / Computer Science / Informatics Practice / Computer Applications / Multimedia & Web)

Students having CUET Score will be given preference in merit.

(for students having no Mathematics background compulsory bridge course will be framed by the University)

For Migration from Other Universities:

1) BCA Ist yr. minimum 50% marks or 5.0 CGPA on a 10 point scale

2) Minimum 50% marks aggregate at XII level (Including English & Maths / Computer Science / Informatics Practice / Computer Applications / Multimedia & Web)

Fee Structure

Duration
3 years
Tuition Fee (per annum)
72,000
Exam Fee (per annum)
15,000
Training & Certification Fee (One time)
21,000

Program Structure

Program Structure

Programme Objectives

01

Be engaged with leading Global Software Services companies handling projects in contemporary technologies.

02

Serve in technical or managerial roles at Government firms, Corporates and contributing to the society as successful entrepreneurs through startup.

03

Undertake higher education at institutions of transnational reputation.

Programme Outcomes

01

The program enhances analytical, managerial, communication and computing Application skills besides inculcating the virtues of self-study.

02

Analyze and synthesis computing systems through quantitative and qualitative techniques.

03

Design and develop computer programs in the areas related to algorithm, web design , networking and AI.

04

Inculcating essential skills as demanded by Indian and Global Software industries through latest tools of learning. This also includes team-building skills, audio- visual presentations and personality development programs.

05

To develop inter-twining competence in the field of Digital Marketing and Commerce, Computing Skill and Computational tools.

06

To Develop practical skills to provide solutions to industry, society and business.

07

Understand environmental issues and lead a life with concerns for environment.

08

Apply ethical principles and commit to professional ethics and responsibilities and norms of the computing science practice.

09

To make graduates understand cross cultural, societal, professional, legal and ethical issues prevailing in industry.

10

Communicate effectively in both verbal and written form.

11

To apply standard software engineering practices and strategies in software project development using open source programming environment to deliver a quality of product for business success.

12

Recognize the need for lifelong learning for continuous enhancement and up gradation of technological changes in society.

Programme Specific Outcomes (PSOs)

01

Have the ability to work with emerging technologies in computing requisite to Industry 4.0.

02

Demonstrate application development skills learned through technical training and projects to solve real world problems

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Minimum 50% marks aggregate at XII level (Including English & Maths / Computer Science / Informatics Practice / Computer Applications / Multimedia & Web)

Students having CUET Score will be given preference in merit.

(for students having no Mathematics background compulsory bridge course will be framed by the University)

For Migration from Other Universities:

1) BCA Ist yr. minimum 50% marks or 5.0 CGPA on a 10 point scale

2) Minimum 50% marks aggregate at XII level (Including English & Maths / Computer Science / Informatics Practice / Computer Applications / Multimedia & Web)

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