B.Com - CMR University

Programme Overview

Bachelor of Commerce (Data Science) is one of the fastest growing sectors in the world, having multiple uses across a wide range of organizations and businesses. Data science is amongst the most highly paid jobs in the world and the role of data analysts has become crucial to the sustenance of business. There is a huge demand for data experts in IT as well as non-IT sectors such as finance, insurance, banking and e-commerce.

Graduates in commerce have a unique approach towards analytics because of their strong quantitative skills and understanding of business operations. Consequently, finance professionals with skills in data analysis are considered highly competitive in the industry. An additional knowledge in Data Science can therefore boost the career prospects of commerce graduates by improving their employability and decision making skills.

Programme Duration

3/4 Years (6/8 Semesters)

Programme Type

Full-Time

Programme Regulations

Programme Regulations as per NEP-2020 Guidelines

Programme Structure 2024

STE-2024 (B.Com –Data Science)

Programme Duration

3/4 Years (6/8 Semesters)

Programme Type

Full-Time

Programme Regulations

Programme Regulations as per NEP-2020 Guidelines

Programme Structure 2024

STE-2024 (B.Com –Data Science)

Programme Overview

Bachelor of Commerce (Data Science) is one of the fastest growing sectors in the world, having multiple uses across a wide range of organizations and businesses. Data science is amongst the most highly paid jobs in the world and the role of data analysts has become crucial to the sustenance of business. There is a huge demand for data experts in IT as well as non-IT sectors such as finance, insurance, banking and e-commerce.
Graduates in commerce have a unique approach towards analytics because of their strong quantitative skills and understanding of business operations. Consequently, finance professionals with skills in data analysis are considered highly competitive in the industry. An additional knowledge in Data Science can therefore boost the career prospects of commerce graduates by improving their employability and decision making skills.

Program Structure

Semester-1

Financial Accounting- I
Introduction to Data Science
Business Economics (Micro-Economics)
Business Mathematics
Hindi / Kannada / English
Design Thinking (DTP)
Indian Constitution (INC)
Community Service-I (COS-I)

Semester-2

Financial Accounting-II
Business Statistics
Fundamentals of Database Management System and SQL
Advance excel
Common Core
Hindi/Kannada/English/FL-French/German/Korean/Spanish
Oral and Written Communication
Community Service-II (COS-II)
Career Preparedness Program-I (Personal Effectiveness + Prepare for Aptitude Tests-I )

Semester-3

Cost Accounting
Artificial Intelligence
Corporate Accounting
Business Research Methods
MOOC-1*
Internship I* (CIP)
Common Core
Arts & Philosophy
Disaster Management
Community Service-III(COS-III) *
Career Preparedness Program-II (Career essentials + Prepare for Aptitude Tests-II )

Semester-4

Financial Management
Data Analytics using Python
Python Programming LAB
Income Tax
Law and Practices
Tally
Common Core
Environment and Sustainability
Critical Inquiry
Career Preparedness Program-III (Career effectiveness + Prepare for Aptitude Tests-III )

Semester-5

Management Accounting
Auditing and Corporate Governance
GST & Indirect Taxes
Elective-1
Data Analysis with R
MOOC-2
Internship II†(SIP)
Common Core
Ethics & Values
Career Preparedness Program -4 (Strategies for Self-management (SSM))

Semester-6

Data Visualization for Analysis
Modeling using AMOS LAB
Internship I† (CIP)
Internship II†† (SIP)
Capstone
Community Service -I (COS-I)*
Community Service - II (COS-II)*
Community Service - III (COS-III)*

Semester-7 (BCOM- Hons. with Research)

Applied Predictive Analytics
Macro Economics
Advanced Research Methodology
Data Analytics
Thesis - I
MOOC-3

Semester-8

Project Appraisal and Financial Planning
Enterprise Resource Planning and MIS
Cloud Computing & Internet of things
Statistics with R
Thesis - II
MOOC-4

Programme Assessment

Choice-Based Credit System (CBCS): The university operates on a Choice-Based Credit System (CBCS), allowing students the flexibility to select courses based on their preferences and earn credits according to their performance.

Grades and GPA: Students receive grades for each course in a semester, and their Semester Grade Point Average (SGPA) is computed to gauge academic performance. The Cumulative Grade Point Average (CGPA) is utilized to assess overall performance across all semesters.

Internship: All students enrolled in this program are mandated to participate in an internship during the fifth and sixth semesters, providing practical exposure and hands-on experience.

Evaluation Process: The assessment of students is comprehensive and continuous throughout the semester, encompassing Continuous Internal Evaluation (CIE) and Semester End Examination (SEE). CIE and SEE contribute equally to the total evaluation, each carrying a weightage of 50%, resulting in a total of 100 marks for each course, regardless of its credit value.

Assessment Methods: Prior to each semester, faculty members may select assessment methods such as assignments, seminars, quizzes, group discussions, case studies, practical activities, class presentations, industry reports, etc., assigning appropriate weightage to each.

By adhering to these principles, the university aims to provide a holistic and flexible learning experience for students, emphasizing practical application through internships and maintaining a robust evaluation system that combines continuous internal assessment with comprehensive semester-end examinations.

Programme Outcome

PSO 1: Students will improve their understanding of data and learn how to use, analyze, and utilize data effectively for business purposes.
PSO 2: Students will learn to organize information efficiently and analyze using appropriate software and tools.
PSO 3: Students will acquire skills for data-driven decision-making.
PSO 4: Students will be able to use the essentials of data-science and understand data analytics modeling.
PSO 5: Students will be able to perform forecasting and predictive analytics.
PSO 6: Students will be conversant with basic data visualization techniques and will be capable of learning advanced techniques.
PSO 7: Students will be able to work on business applications of emerging technologies.

Related Programme

B.Com | Professional – CA Integrated

B.Com (IAF) | International Accounting & Finance

Programme Details

Scope and Objectives

PO 1: The course provides a platform for experiential learning and grooms students toward an industry-specific curriculum with a focused approach on crucial areas in the management of companies.
PO 2: After completing the Bachelor's in Commerce (Data Science) program, students would gain a thorough grounding in the fundamentals of Commerce and Finance, along with data-driven analytical capabilities.
PO 3: The course exposes students to the latest trends in commerce and data science, relevant branches of knowledge, giving them the needed competence and creativity to face global challenges.
PO 4: Students have a plethora of choices to pursue professional courses such as M.COM, MBA, etc., for higher degrees.
PO 5: The students will be ready for employment in functional areas such as accounting, taxation, banking, insurance, and corporate law.