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BBA in Data Science at SRM Institute of Science and Technology
Chengalpattu, Tamil Nadu
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About the Specialization
What is Data Science at SRM Institute of Science and Technology Chengalpattu?
This BBA Data Science program at SRM Institute of Science and Technology focuses on equipping students with essential business acumen combined with robust data analysis skills. In the rapidly evolving Indian industry, where data-driven decision-making is paramount, this program stands out by offering a unique blend of management principles and core data science methodologies, preparing graduates for key roles in the digital economy.
Who Should Apply?
This program is ideal for fresh graduates from any stream with a keen interest in business and analytics, particularly those with a background in Mathematics or Computer Science. It also caters to aspiring business leaders who wish to leverage data for strategic decision-making, as well as career changers looking to transition into data-intensive business roles in the vibrant Indian job market.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India such as Business Analyst, Data Analyst, Market Research Analyst, and Junior Data Scientist. Entry-level salaries typically range from INR 3-6 lakhs per annum, with significant growth potential up to INR 10-15 lakhs or more for experienced professionals in leading Indian companies and MNCs. The curriculum aligns with industry-recognized analytics certifications.
Student Success Practices
Foundation Stage
Master Business and Data Fundamentals- (Semester 1-2)
Dedicate time to thoroughly understand core management principles (Marketing, HR, Finance) and foundational data concepts (Statistics, Python basics). Regular practice of coding challenges and statistical problems will build a strong academic base. Form study groups to discuss complex topics and clarify doubts, fostering peer learning.
Tools & Resources
Online Python tutorials (e.g., Coursera, freeCodeCamp), Statistical software basics (e.g., R, basic Excel functions), SRMIST library resources for management texts, Peer study groups
Career Connection
A solid foundation in both business and data is critical for understanding the ''''why'''' behind data analysis in a business context, making graduates more valuable to Indian companies seeking holistic skill sets. This forms the bedrock for advanced topics and future specialized roles.
Develop Strong Communication Skills- (Semester 1-2)
Actively participate in ''''Professional English'''' and ''''Business Communication'''' courses, focusing on improving written reports, oral presentations, and public speaking. Join debate clubs or presentation competitions within SRMIST to hone articulation and confidence, which are highly valued in corporate India.
Tools & Resources
SRMIST Communication Labs, Toastmasters International (local chapters), Online resources for presentation best practices, College debate and presentation clubs
Career Connection
Effective communication is paramount for data professionals to convey insights to non-technical stakeholders in Indian businesses. Strong communication skills enhance employability and upward mobility in team-oriented work environments.
Build a Portfolio of Mini-Projects- (Semester 1-2)
Start working on small data analysis projects using publicly available datasets. Apply basic Python and statistical techniques learned in class to solve simple problems. Document your code and findings meticulously. This early exposure builds practical skills and demonstrates initiative.
Tools & Resources
Kaggle.com (datasets and tutorials), Google Colaboratory (for Python coding), GitHub (for version control and portfolio display), YouTube tutorials for project ideas
Career Connection
Even basic projects showcase practical application of concepts, which is highly sought after by recruiters in India. It also helps students identify their areas of interest early, guiding future specialization.
Intermediate Stage
Engage in Practical Data Science Applications- (Semester 3-5)
Focus on applying Machine Learning, DBMS, and Big Data concepts through hands-on projects. Work on case studies related to Indian industries like e-commerce, finance, or healthcare. Utilize tools like SQL and Pandas extensively. Seek mentorship from faculty for project guidance.
Tools & Resources
SQL-Practice.com, HackerRank for coding challenges, Coursera/edX advanced data science courses, Industry-specific datasets from government portals (e.g., Data.gov.in)
Career Connection
Practical application directly translates to job readiness for roles like Data Analyst or Junior Data Scientist in Indian companies. This stage builds a robust portfolio showcasing problem-solving abilities with relevant technologies.
Network and Seek Industry Exposure- (Semester 3-5)
Attend industry webinars, workshops, and hackathons hosted by SRMIST or external organizations. Connect with professionals on platforms like LinkedIn. Participate in inter-collegiate competitions focused on data analysis. This builds a professional network crucial for internships and placements in India.
Tools & Resources
LinkedIn for professional networking, Meetup.com for local data science events, SRMIST career development cell events, Industry talks by alumni and experts
Career Connection
Networking opens doors to internship opportunities and insights into industry trends in India. A strong network can provide referrals and mentorship, significantly aiding career progression.
Specialize and Certify- (Semester 3-5)
Identify a sub-area of data science (e.g., NLP, Deep Learning, Cloud Analytics) that aligns with your interests and career goals. Pursue relevant online certifications or specialized workshops. Deepen your understanding in chosen areas beyond the curriculum, preparing for advanced roles.
Tools & Resources
Google Cloud/AWS/Azure certifications, NPTEL courses for theoretical depth, Udemy/Coursera specialized courses, Kaggle competitions focusing on specific domains
Career Connection
Specialization makes you a more attractive candidate for niche roles in high-demand areas within the Indian data science ecosystem. Industry certifications validate your skills and boost your resume for top-tier companies.
Advanced Stage
Undertake a Comprehensive Internship/Project- (Semester 6)
Secure a challenging internship in a relevant company in India to gain real-world experience, ideally leading to a capstone project. Apply all learned skills to solve complex business problems. Focus on the end-to-end data science lifecycle, from problem definition to deployment and reporting.
Tools & Resources
SRMIST Placement Cell for internship opportunities, Internshala.com, LinkedIn Jobs, Company websites for direct applications
Career Connection
Internships are often the gateway to full-time employment in India. A significant project demonstrates your capability to contribute immediately to a company, enhancing your chances of conversion or strong recommendations for placements.
Intensify Placement Preparation- (Semester 6)
Actively engage with the SRMIST placement cell for mock interviews, resume building, and aptitude test preparation. Practice technical questions related to data science, SQL, Python, ML algorithms, and general business knowledge. Focus on soft skills and case study analysis relevant to Indian corporate interviews.
Tools & Resources
SRMIST Placement Training Programs, GeeksforGeeks, LeetCode (for coding practice), Glassdoor for company-specific interview questions, Mock interview platforms
Career Connection
Thorough preparation is crucial for navigating competitive placement drives in India. A well-prepared candidate stands a much higher chance of securing coveted positions in leading analytics and technology firms.
Develop Leadership and Mentoring Skills- (Semester 6)
Take on leadership roles in student organizations or mentor junior students in data science projects. Organize workshops or study sessions. This builds soft skills like team management, problem-solving, and communication, essential for future leadership roles in Indian organizations.
Tools & Resources
SRMIST student clubs and societies, Leadership development workshops, Volunteering opportunities within the university
Career Connection
Leadership and mentoring experience demonstrate initiative and the ability to work effectively in teams, which are highly valued by Indian employers looking for future managers and team leads in the data domain.
Program Structure and Curriculum
Eligibility:
- Pass in Higher Secondary Examination (10+2 pattern) from a recognized Board with a minimum of 60% aggregate. Students who have studied Mathematics / Statistics / Business Mathematics / Computer Science / Informatics Practices as one of the subjects in 12th standard are preferred.
Duration: 6 semesters / 3 years
Credits: 140 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UHS2101 | Professional English I | Ability Enhancement Compulsory Course (AECC) | 3 | Communication Skills, Grammar and Vocabulary, Reading Comprehension, Basic Public Speaking, Writing Fundamentals |
| ULC2101 | Value Education | Ability Enhancement Compulsory Course (AECC) | 2 | Ethics and Morality, Human Values, Social Responsibility, Environmental Ethics, Personal Growth |
| UMT2101 | Mathematics for Business I | Core | 4 | Basic Algebra, Set Theory, Matrices and Determinants, Differential Calculus, Integral Calculus |
| UBC2101 | Principles of Management | Core | 4 | Management Concepts, Planning and Organizing, Staffing and Directing, Controlling Functions, Managerial Roles |
| UBC2102 | Financial Accounting | Core | 4 | Accounting Principles, Journal and Ledger, Trial Balance, Final Accounts Preparation, Depreciation Methods |
| UBC2103 | Business Economics | Core | 4 | Microeconomics Basics, Demand and Supply Analysis, Production Theory, Market Structures, Macroeconomic Indicators |
| UCC2101 | Computer Applications for Business | Skill Enhancement Course (SEC) | 2 | MS Office Suite, Word Processing, Spreadsheet Applications, Presentation Tools, Internet Fundamentals |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UHS2102 | Professional English II | Ability Enhancement Compulsory Course (AECC) | 3 | Advanced Communication, Business Correspondence, Report Writing, Presentation Skills, Interview Techniques |
| UMT2102 | Mathematics for Business II | Core | 4 | Linear Programming, Transportation Problems, Assignment Problems, Game Theory, Network Analysis |
| UBC2104 | Organizational Behaviour | Core | 4 | Perception and Learning, Motivation Theories, Leadership Styles, Group Dynamics, Conflict Management |
| UDS2101 | Data Fundamentals | Core | 4 | Data Types and Structures, Data Collection Methods, Introduction to Databases, Data Quality, Data Security |
| UDS2102 | Programming in Python | Core | 4 | Python Basics, Control Flow Statements, Functions and Modules, Data Structures in Python, Object-Oriented Concepts |
| UDS2103 | Statistics for Data Science | Core | 4 | Probability Theory, Descriptive Statistics, Inferential Statistics, Hypothesis Testing, Correlation and Regression |
| UCC2102 | Quantitative Aptitude | Skill Enhancement Course (SEC) | 2 | Numerical Ability, Logical Reasoning, Data Interpretation, Problem Solving, Mental Math Techniques |
