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B.Tech. - (CSE) Business Analytics 

B.Tech. - (CSE) Business Analytics 

School of Engineering and Technology (SET)

  • Level

    Graduate

  • Duration

    4 Years

About the Programme

Company analytics (BA) refers to the skills, technology, tools, and procedures used to continuously explore and investigate historical business performance in order to generate insight and drive business orchestration for increased profits. Business analytics is concerned with gaining preliminary insights and knowledge of a company's performance based on available data and statistical approaches.

Quantifying the Business World, Predictive Modeling and Analytics, Marketing Analytics, and more courses are included.

Programme Educational Objectives (PEO)

Program educational objectives are broad statements that describe the career and professional accomplishments that the program is preparing graduates to achieve.
The Program Educational Objectives (PEOs) of UG Program in Computer Science & Engineering are:

  • PEO-1 The graduates will establish themselves as professionals by solving real-life problems using exploratory and analytical skills acquired in the field of Computer Science and Engineering.
  • PEO-2 The graduates will provide sustainable solutions to ever changing interdisciplinary global problems through their Research & Innovation capabilities.
  • PEO-3 The graduates will become employable, successful entrepreneur as an outcome of Industry-Academia collaboration. 
  • PEO-4 The graduates will embrace professional code of ethics while providing solution to multidisciplinary social problems in industrial, entrepreneurial and research environment to demonstrate leadership qualities.

Methods of Forming PEO’s

  • STEP 1.    The needs of the Nation and society are identified through scientific publications, industry interaction and media.
  • STEP 2.  Taking the above into consideration, the PEOs are established by the Coordination Committee of the department.
  • STEP 3.   The PEOs are communicated to the alumni and their suggestions are obtained.
  • STEP 4.   The PEOs are communicated to all the faculty members of the department and their feedback is obtained.
  • STEP 5.   The PEOs are then put to the Board of Studies of the department for final approval.

Program Outcomes (PO’s)

  • PO1:Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • PO2:  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.
  • PO3:  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 the public health and safety, and the cultural, societal, and environmental considerations.
  • PO4:  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.
  • PO5:  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.
  • PO6:  The engineer and society:  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.
  • PO7:    Environment and sustainability:  Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  • PO8:  Ethics:  Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • PO9:  Individual and teamwork:  Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • PO10: 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.
  • PO11: 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 in a team, to manage projects and in multidisciplinary environments.
  • PO12: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.
  • PSO1:  Experiment and prepare programming concepts and provide new ideas and innovations towards research and societal issues.
  • PSO2:  Analyse and develop computer programs in the areas related to algorithms, system software, cloud computing, artificial intelligence & machine learning, bioinformatics, big data analytics, block chain, cyber security and networking for efficient design of computer-based systems of varying complexity.
  • PSO3:  Apply standard Software Engineering practices and strategies in software project development using open-source programming environment to deliver a quality product for business success.

This course is for individuals who...

This curriculum is designed for students who wish to learn how to assess and anticipate business results. The course emphasizes the development of skills and cognitive abilities in order to better grasp data-driven decision-making. The training will concentrate on the models, tools, and approaches for predicting business situations through investigative data analysis.

Students who are looking for...

In a futuristic industry, a profession with remarkable potential fields and difficult tasks. Financial stability, the ability to relocate, and the opportunity to learn for the rest of one's life are just a few of the benefits that make this programme an excellent choice for computer science aficionados. Successful graduates of the course will have access to a variety of career opportunities.

The course's successful graduates are offered a preliminary average compensation of INR 3 to 8 Lacs, which is dependent on the candidate's experience in the field. After successfully completing the course, students might find work in both the commercial and public sectors.

Course Fee
For National Students
1st Year 184370 2nd Year 189901 3rd Year 195600 4th Year 201468
For International Students
Fee Per Semester Fee Per Year
NA NA
Programme Structure

S. No.

Course Code

Course

Teaching Load

Credits

L

T

P

THEORY SUBJECTS

1

CSE113

Programming for Problem Solving

3

0

0

3

2

MTH142

Calculus and Abstract Algebra

3

1

0

4

3

PHY125

Engineering Physics-I

3

1

0

4

4

EVS103

Environmental Studies

2

0

0

2

OR

HMM111

Human Value & Ethics

Practical/Viva-Voce/Jury

5

ARP101

Communicative English-1

1

0

2

2

6

CSP113

Programming for Problem Solving Lab

0

0

2

1

7

CSP101

Introduction to Computer Science and Engineering

0

0

2

1

8

MEP106

Computer Aided Design & Drafting

0

0

3

1.5

OR

MEP105

Mechanical Workshop

0

0

3

9

PHY162

Physics Lab

0

0

2

1

TOTAL CREDITS

 

 

 

 

19.5

S. No.

Course Code

Course

Teaching Load

Credits

L

T

P

THEORY SUBJECTS

1

CSE114

Application based Programming in Python

3

0

0

3

2

MTH145

Probability and Statistics                                                                                                                         

3

1

0

4

3

EEE112

Principles of Electrical and Electronics Engineering

2

1

0

3

4

HMM111

Human Value & Ethics

2

0

0

2

OR

EVS103

Environmental Studies

Practical/Viva-Voce/Jury

5

ARP102

Communicative English -2

1

0

2

2

6

CSP105

Design and creativity Lab

1

0

2

2

7

CSP114

Application based Programming in Python

0

0

2

1

8

MEP105

Mechanical Workshop

0

0

3

1.5

OR

MEP106

Computer Aided Design & Drafting

0

0

3

9

EEP112

Principles of Electrical and Electronics Engineering

0

0

2

1

TOTAL CREDITS

 

 

 

 

19.5

S. No.

Course Code

Course

Teaching Load

Credits

L

T

P

THEORY SUBJECTS

1

CSE242

Data Structures

3

0

0

3

2

CSE245

Discrete Structures

3

1

0

4

3

CSE247

Computer Organization and Architecture

3

0

0

3

4

CSE253

Object Oriented Programming Using Java

2

0

0

2

5

CSE254

Principles of Operating System

2

0

0

2

6

CSE255

Introduction of Entrepreneurship

2

0

0

2

Practical/Viva-Voce/Jury

7

ARP203

Aptitude Reasoning and Business Communication Skills -  Basic

1

0

2

2

8

CSP242

Data Structures Lab

0

0

2

1

9

CSP243

Object Oriented Programming Using Java

0

0

2

1

10

CSP244

Principles of Operating System Lab

0

0

2

1

11

CSP254

Project Based Learning (PBL) -1

0

0

4

2

12

CSP292

Summer Internship-I

-

-

-

2

TOTAL CREDITS

 

 

 

 

25

S. No.

Course Code

Course

Teaching Load

Credits

L

T

P

THEORY SUBJECTS

1

BTY223

Introduction to Biology for Engineers

2

0

0

2

2

CSE249

Data Base Management System

3

0

0

3

3

CSE251

Theory of Computation

3

1

0

4

4

CSE252

Computer Networks

3

0

0

3

5

PE-1

Program Elective-1

3

0

0

3

CSE011

Mathematical Techniques

CSE012

Introduction to Graph Theory and its Applications

6

OE1

Open Elective – 1

2

0

0

2

Practical/Viva-Voce/Jury

7

ARP204

Aptitude Reasoning and Business Communication Skills- Intermediate

1

0

2

2

8

CSP249

Data Base Management System Lab

0

0

2

1

9

CSP252

Computer Networks Lab

0

0

2

1

10

CSP297

Project Based Learning (PBL) -2

0

0

4

2

TOTAL CREDITS

 

 

 

 

23

S. No.

Course Code

Course

Teaching Load

Credits

L

T

P

THEORY SUBJECTS

1

CSE354

Design and Analysis of Algorithm

3

0

0

3

2

CSE356

Software Engineering and Testing Methodologies

2

0

0

2

3

CSE355

Research Methodology

2

0

0

2

4

PE2

Program Elective-2

 

 

 

3

CSE021

Introduction to Cloud Computing

3

0

0

CSE023/ CSP023

Android Application Development

2

0

2

CSE024/ CSP024

Web Technologies

5

  OE-2

Open Elective – 2

2

0

0

2

Practical/Viva-Voce/Jury

6

ARP301

Quantitative Aptitude Behavioral and Interpersonal Skills

1

0

2

2

7

CSP350

Design and Analysis of Algorithm Lab

0

0

2

1

8

CSP354

Project Based Learning (PBL) -3

0

0

4

2

9

CSP355

Software Engineering and Testing Methodologies

0

0

2

1

10

CSP391

Summer Internship-II

-

-

-

2

11

CSP395

Technical Skill Enhancement Course-1 Simulation Lab

0

0

2

1

12

ECC301

Community Connect

-

-

-

2

TOTAL CREDITS

 

 

 

 

23

                 

 

S. No.

Course Code

Course

Teaching Load

Credits

L

T

P

THEORY SUBJECTS

1

CSE353

Compiler Design

3

0

0

3

2

HMM305

Management for Engineers

3

0

0

3

3

PE3

Program Elective-3

3

0

0

3

CSE031

Digital Image Processing

CSE032

Cryptography and Network Security

4

PE4

Program Elective-4

3

0

0

3

CSE041

Software Project Management

CSE042

Software Testing

5

PE5

Program Elective-5

3

0

0

3

CSE051

Wireless Networks

CSE052

Risk Management

CSE053

Advanced Operating System

6

  OE-3

Open Elective – 3

3

0

0

3

Practical/Viva-Voce/Jury

7

ARP302

Higher Order Mathematics and Advanced People Skills

1

0

2

2

8

CSP353

Compiler Design Lab

0

0

2

1

9

CSP396

Technical Skill Enhancement Course-2(Application Development Lab)

0

0

2

1

10

CSP398

Project Based Learning (PBL) -4

0

0

4

2

TOTAL CREDITS

 

 

 

 

24

S. No.

Course Code

Course

Teaching Load

Credits

L

T

P

THEORY SUBJECTS

1

CSE472

Artificial Intelligence

3

0

0

3

2

 

Program Elective-6

3

0

0

3

CSE062

Mobile Computing

CSE063

Quantum Computing

3

 

Program Elective-7

2

0

0

2

CSE071

Introduction to Internet of Things

CSE072

Parallel Computing Algorithms

CSE073

3D Printing and Software Tools

4

 

Comprehensive Examination

0

0

0

0

5

OE4

Open Elective - 4

2

0

0

2

6

OE4

Open Elective - 5

3

0

0

3

Practical/Viva-Voce/Jury

7

CSP472

Artificial Intelligence Lab

0

0

2

1

8

CSP496

Summer Internship-III

-

-

-

2

9

CSP497

Capstone - 1

-

-

-

2

TOTAL CREDITS

 

 

 

 

18

 

S. No.

Course Code

Course

Teaching Load

Credits

L

T

P

Practical/Viva-Voce/Jury

1

CSP498

Capstone  - 2

-

-

-

8

TOTAL CREDITS

 

 

 

 

8

 

Eligibility Criteria
For National Students
  • Matriculation with-60% marks Sr. Secondary (10+2) 60% marks (Aggregate) & minimum 60% marks in PCM Computer Science/PCB for Biotechnology without gap between 10th and 12th.

Minimum 50% marks in Maths

+

  • SUAT (Online Test) Followed by Personal Interview

Or

  • JEE-Mains All India Rank upto 3 Lakh
For International Students The eligibility criterion for all programs for international applicants is minimum 50% in the qualifying examination and having studied the pre-requisite subjects for admission in to the desired program.
Career path you can choose after the course
  • Fulltime/Freelance Analysts to Business
  • Business Consultants
  • Business Development Manager
  • Business Growth Analyst etc.

Take the next step towards a career in engineering.

Apply Now