BCA / BCA (H)

(with specialization in Data Analytics) in Association with Microsoft

BCA / BCA (H)

Data analytics is the process of examining data sets in order to find trends and draw conclusions about the information they contain. Increasingly, data analytics is done with the aid of specialized systems and software.

This program covers in deapth needs of Computer Application Development and Analytic skills. including decision analysis, statistics, predictive modelling, data mining and visualization and applied probabilistic modelling. Data analytics techniques are widely used in commercial industries to enable organizations to make more-informed business decisions

 
Program Specific Outcomes (PSO)
PSO 01

To learn the concepts of Computer Science and Applications such as Operating System, Computer Networks, Computer Organisation and Architecture, DBMS and Data Structures which meet the desired needs of industry and society.

PSO 02

To analyze their abilities in systematic planning, developing, testing and executing complex computing applications in field of Social Media and Analytics, Web Application Development and Data Interpretations, Machine Learning and Data Analytics for providing solutions to computational problems.

PSO 03

Graduates would expertise in successful careers based on their understanding of formal and practical methods.

Programme Outcomes (PO)

To apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

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To identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

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To design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

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T 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.

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To 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.

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To apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

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To understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

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To apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

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To function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

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To 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.

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To demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

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To 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.

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Curriculum Details

S.No. Course Code Course Title L T P C
1 MAT1705 DSC-A1 Basic Mathematics 3 1 0 4
2 CAP1005/CAP1005L DSC-B1 Problem Solving and Programming through C 3 0 2 4
3 CAP1004/CAP1004L DSC C1 NA Introduction to IT 3 0 2 4
4 VAC001 VAC I Design Thinking 2 0 0 2
5 COM1515 AEC I NA Modern English Language 2 0 0 2
6 CAI1013 DA-1 Data Science Industry Vertical 2 0 0 2
7 FIN1799 MDC 3 NA Basics of Financial Management 3 0 0 3
8 CAP1502L SEC-I PC Software Lab / Engineering Workshop 0 0 2 1
Total Credits 22

S.No. Course Code Course Title L T P C
1 CAP2702 DSC-A2 Computer System Architecture 3 0 0 3
2 CAI2701 DA-3 Basics of Data Science 2 0 2 3
3 CAP2007/ CAP2007L DSC-B2 Principles of Operating Systems 3 0 2 4
4 CAP2001/ CAP2001L DSC-C2 Data Structure using C 3 0 2 4
5 LAW3702 MDC II Constitution Of India 3 0 0 3
6 COM1521 AEC- II Communication Skills and Ability Enhancement 2 0 0 2
7 VAC002 VAC-II Innovation, Entrepreneurship and Sustainability 1 0 2 2
Total Credits 21

S.No. Course Code Course Title L T P C
2 CAP2017/CAP2017L DSC-A3 Introduction to Object Oriented Concepts Using Java 3 0 2 4
3 CAP2002/CAP2002L DSC-A4 Introduction to Database Management Systems 3 0 2 4
4 IDP2501/IDP2502 SEC-III IDP1 2 0 2 3
5 CAP3004/CAP3004L DSC-A14 Artificial Intelligence 3 0 0 3
6 CAP2018/CAP2018 DSC-A5 Design and Analysis of Algorithm 2 0 2 3
7 HUM2790 MDC - I Essense of Indian Traditional Knowledge 3 0 0 3
8 COM2521 AEC 3 Academic Writing 2 0 0 2
Total Credits 22

S.No. Course Code Course Title L T P C
1 CAP2005/CAP2005L DSC-A6 Software Engineering Fundamentals 3 0 0 3
2 CAP2309/CAP2309L DSC-A8 Discrete Mathematical Structures through Python 3 0 2 4
3 ITL1001 DSC-A11 Computer Networks 2 0 2 3
4 CAP1405/CAP1405L DA-2 Data Mining 2 0 0 2
5 IDP2503/IDP2504 SEC-IV IDP2 3 0 0 3
6 COM2525 AEC-IV Work Place Communication 2 0 0 2
7 ENV1702 VAC3 NA Environmental Studies 3 0 0 3
Total Credits 20

S.No. Course Code Course Title L T P C
1 CAP3702 DSC-A10 Theory of Computation 3 1 0 4
2 CAP3012/CAP3012L MIC Data Warehousing and Data Mining 3 0 2 4
3 DSC-A12 DE1 3 0 0 3
4 CAP2016 DSC-A Full Stack Development 3 0 2 4
5 CAP3703 MIC Research Methodology 2 0 0 2
6 CAI3001/CAI3001L DA-4 Multivariate Analysis 2 0 4 4
Total Credits 21

S.No. Course Code Course Title L T P C
1 CAP3013/CAP3013L DSC-A ANN 3 0 2 4
2 DSC-A15 DE-2 3 0 0 3
3 CAP3701 DSC-A16 Cloud Computing 3 0 2 4
4 DSC-A17 DE-3 3 0 0 3
5 CAI1006/CAI1006L DA-5 Big Data Technologies and Applications/ Big Data Technologies and Applications Lab 3 0 2 4
Total Credits 18
Students will be doing Summer Internship During this period

S.No. Course Code Course Title L T P C
1 CAP 4014/CAP 4014L DSC-H1 Deep Learning 3 0 2 4
2 CAP3804 DSC-H2 Optimization Techniques 3 0 0 3
3 CAP4015/CAP4015 DSC-H3 Cryptography and Network Security 3 0 2 4
4 CAP2015/CAP2015L DSC-H4 Data Visualization using R 2 0 2 3
5 Internship Summer Internship 0 0 0 3
6 CAP4503 MIC5 Project Phase 1 3 0 0 3
Total Credits 20

S.No. Course Code Course Title L T P C
1 CAP3702 DSC-H6 Social Network Analysis 3 0 0 3
2 DSC-H7 Departmental Elective-4 3 0 0 3
3 CAP 4504 Project Phase 2 0 0 0 10
Total Credits 16
Bucket for BCA Game Development
GD-1 Introduction to Game Development 2
GD-2 Game Design – I 3
GD-3 2D Game Development 2
GD-4 3D Game Development 4
GD-5 Game Production and Project Management 4

List of Department Electives
Course Code Course Name L T P C
CAP2703 Introduction to Enterprise Resource Planning 3 0 0 3
CAP2711 Internet of Things 3 0 0 3
CSE2733 Blockchain Technologies 3 0 0 3
CSE3709 Real Time Systems 3 0 0 3
CSE2720 Distributed Systems 3 0 0 3
CSE2721 Image Processing 2 0 2 3
CSE2711 High Performance Computing 3 0 0 3
CSE2715 Cloud Virtualization 3 0 0 3
CSE2716 Graph Data Analytics 3 0 0 3
CSE2710 Mobile Application Development 2 0 2 3
CAP3805 Generative AI 3 0 0 3
CSE2717 Cloud Application Development 3 0 0 3
List of Open Electives
CAP2706 E-Governance 3 0 0 3
ITL3701 Simulation Techniques 3 0 0 3
ITM 2761 Marketing In Digital World 3 0 0 3
ENP2763 Entrepreneurship Development 3 0 0 3

Career Path

career-path
  • Data Analyst
  • Data Engineer
  • Data Analytics Consultan
  • Marketing Analyst.
  • Data Scientist
  • Quantitative Analyst
  • Operations Analyst

Fee Structure

Yearly
1st Year 2nd Year 3rd Year 4th Year
₹2,10,000 ₹1,70,000 ₹1,70,000 ₹1,70,000
Semester Wise
1st Sem 2nd Sem 3rd Sem 4th Sem 5th Sem 6th Sem 7th Sem 8th Sem
₹1,25,000 ₹85,000 ₹85,000 ₹85,000 ₹85,000 ₹85,000 ₹85,000 ₹85,000

Admission Process

01

Complete the Application

02

Appear for Entrance test and interview

03

Get shortlisted and Received the offer letter

BCA / BCA (H) (with specialization in Data Analytics) in Association with Microsoft

Passed the XII standard from any recognized Education Board with a minimum of 50% marks and English as a compulsory subject.

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