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BA-PROGRAMME in Computer Applications Mathematics 4 at Delhi College of Arts and Commerce
Delhi, Delhi
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About the Specialization
What is Computer Applications + Mathematics [4] at Delhi College of Arts and Commerce Delhi?
This Computer Applications + Mathematics program at Delhi College of Arts and Commerce focuses on building a strong foundation in both computational thinking and rigorous mathematical principles. It is tailored to meet the growing demand for interdisciplinary skills in India''''s technology sector, emphasizing problem-solving and analytical capabilities essential for diverse roles.
Who Should Apply?
This program is ideal for fresh graduates from diverse academic backgrounds seeking entry into data analysis, software development, or quantitative finance. It also suits working professionals looking to upskill in analytics or career changers transitioning to tech-enabled roles, particularly those with a keen interest in logical reasoning and computational methods.
Why Choose This Course?
Graduates of this program can expect promising India-specific career paths in data science, business analytics, software testing, or actuarial sciences. Entry-level salaries typically range from INR 3-6 lakhs per annum, with significant growth trajectories in Indian IT and financial services. It provides a strong base for professional certifications in analytics and programming.
Student Success Practices
Foundation Stage
Build Strong Logic and Programming Fundamentals- (Semester 1-2)
Dedicate time to understanding core programming concepts in Python and mathematical logic. Regularly solve problems from textbooks and online platforms to solidify understanding. Engage in peer programming sessions to learn from different approaches.
Tools & Resources
NPTEL courses on Algorithms, GeeksforGeeks for coding challenges, Khan Academy for Math basics
Career Connection
A robust foundation is critical for clearing technical interviews for entry-level roles in software development, data entry, and junior analyst positions in India.
Participate in Academic Quizzes and Math Competitions- (Semester 1-2)
Actively participate in college-level mathematics and computer science quizzes or competitions. This helps in developing problem-solving speed, analytical thinking, and competitive spirit. Join relevant college societies to stay informed about opportunities.
Tools & Resources
College Math Clubs, Online platforms like HackerRank for algorithmic challenges, DU inter-college competitions
Career Connection
Showcases initiative and problem-solving abilities, which are highly valued by recruiters for analytical and tech roles in India.
Develop Effective Study Habits and Time Management- (Semester 1-2)
Establish a consistent study schedule, balancing both computer applications and mathematics subjects. Break down complex topics into smaller, manageable parts. Utilize college library resources and study groups for enhanced learning.
Tools & Resources
Google Calendar for scheduling, Focus apps like Forest, College library resources and peer study groups
Career Connection
Efficient study habits ensure academic excellence, leading to better grades and eligibility for internships and placements in leading Indian companies.
Intermediate Stage
Undertake Mini-Projects and Internships- (Semester 3-5)
Apply theoretical knowledge by working on mini-projects involving databases, web development, or data analysis. Seek short-term internships or volunteer for tech roles in local startups or NGOs during breaks to gain practical experience.
Tools & Resources
GitHub for project showcases, LinkedIn for internship searches, Local tech meetups in Delhi
Career Connection
Practical project experience is crucial for building a portfolio and securing paid internships or entry-level jobs in Indian IT and data sectors.
Network with Industry Professionals and Alumni- (Semester 3-5)
Attend industry workshops, seminars, and guest lectures organized by the college or external bodies. Connect with alumni working in relevant fields on platforms like LinkedIn to gain insights and potential mentorship opportunities.
Tools & Resources
LinkedIn, College alumni network portals, Industry conferences in Delhi
Career Connection
Building a strong professional network can open doors to referrals, mentorship, and employment opportunities within Indian companies.
Specialize in a Niche Technology or Mathematical Area- (Semester 3-5)
Based on interests, choose to delve deeper into a specific area like data science, machine learning, or advanced statistics. Complement coursework with online certifications to build specialized skills demanded by the Indian market.
Tools & Resources
Coursera/Udemy for certifications, Kaggle for data science practice, Advanced textbooks and research papers
Career Connection
Specialized skills make you a more attractive candidate for specific roles like Junior Data Scientist, Business Analyst, or Quantitative Analyst in India.
Advanced Stage
Intensive Placement Preparation and Mock Interviews- (Semester 6)
Focus on rigorous preparation for campus placements. Practice aptitude tests, revise core computer science and mathematics concepts, and participate in mock interviews. Work on improving communication and soft skills.
Tools & Resources
Placement cell workshops, Online aptitude platforms, InterviewBit for coding interviews
Career Connection
Thorough preparation is paramount for securing placements with top Indian and multinational companies during campus recruitment drives.
Undertake a Capstone Project or Dissertation- (Semester 6)
Work on a significant capstone project that integrates both computer applications and mathematics. This could be a research project or a practical application, showcasing advanced problem-solving and analytical abilities.
Tools & Resources
Faculty mentors, Research journals, Industry problem statements
Career Connection
A strong capstone project demonstrates expertise and provides a talking point for interviews, significantly enhancing job prospects in R&D or advanced analytical roles.
Explore Higher Education or Entrepreneurship Opportunities- (Semester 6)
Research options for postgraduate studies (M.Sc. Computer Science, M.A. Mathematics, MBA, data science programs) in India or abroad. For entrepreneurial minds, develop a business plan around a tech-enabled solution.
Tools & Resources
GRE/CAT preparation materials, Startup incubators, Government schemes for young entrepreneurs
Career Connection
This strategic planning helps in long-term career growth, whether through specialized education for senior roles or building innovative ventures in the Indian ecosystem.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 examination or equivalent with a minimum percentage as prescribed by the University of Delhi from a recognized board.
Duration: 3 years / 6 semesters
Credits: 132 credits (for 3-year BA Programme exit option as per UGCF 2022) Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC-1 | Calculus | Discipline Specific Core (Mathematics) | 4 | Limits and Continuity, Differentiation and Applications, Integration and Applications, Partial Derivatives, Sequences and Series |
| DSC-2 | Introduction to Programming | Discipline Specific Core (Computer Science) | 4 | Programming Fundamentals, Variables and Data Types, Control Flow, Functions and Modules, Basic Algorithms using Python |
| AECC-1 | Environmental Studies | Ability Enhancement Compulsory Course | 4 | Environment and Ecosystems, Natural Resources, Environmental Pollution, Social Issues and the Environment, Environmental Ethics and Human Population |
| VAC-1 | Value Addition Course - I | Value Addition Course (Elective) | 2 |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC-3 | Algebra | Discipline Specific Core (Mathematics) | 4 | Matrices and Determinants, Vector Spaces, Linear Transformations, Eigenvalues and Eigenvectors, Groups and Rings |
| DSC-4 | Data Structures | Discipline Specific Core (Computer Science) | 4 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting and Searching Algorithms, Algorithm Analysis |
| AECC-2 | MIL Communication | Ability Enhancement Compulsory Course | 4 | Introduction to Communication, Types of Communication, Verbal and Non-verbal Communication, Barriers to Communication, Mass Media and Communication Ethics |
| VAC-2 | Value Addition Course - II | Value Addition Course (Elective) | 2 |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC-5 | Differential Equations | Discipline Specific Core (Mathematics) | 4 | First Order Differential Equations, Higher Order Linear Equations, System of Linear Differential Equations, Series Solutions, Laplace Transforms |
| DSC-6 | Database Management Systems | Discipline Specific Core (Computer Science) | 4 | Database System Concepts, ER Model, Relational Model and SQL, Normalization, Transaction Management and Concurrency Control |
| GE-1 | Generic Elective - I | Generic Elective (Elective) | 4 | |
| SEC-1 | Skill Enhancement Course - I | Skill Enhancement Course (Elective) | 2 | |
| VAC-3 | Value Addition Course - III | Value Addition Course (Elective) | 2 |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC-7 | Real Analysis | Discipline Specific Core (Mathematics) | 4 | Real Number System, Sequences and Series of Functions, Continuity and Uniform Continuity, Riemann Integration, Metric Spaces |
| DSC-8 | Operating Systems | Discipline Specific Core (Computer Science) | 4 | Operating System Concepts, Process Management, Memory Management, File Systems, I/O Management and Disk Scheduling |
| GE-2 | Generic Elective - II | Generic Elective (Elective) | 4 | |
| SEC-2 | Skill Enhancement Course - II | Skill Enhancement Course (Elective) | 2 | |
| VAC-4 | Value Addition Course - IV | Value Addition Course (Elective) | 2 |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSE-1 (Math) | Numerical Methods | Discipline Specific Elective (Mathematics) | 4 | Error Analysis, Roots of Equations, Interpolation, Numerical Differentiation and Integration, Solution of Linear Systems |
| DSE-1 (CS) | Web Technologies | Discipline Specific Elective (Computer Science) | 4 | HTML and CSS, JavaScript Fundamentals, DOM Manipulation, Web Servers and Clients, Introduction to Web Frameworks |
| GE-3 | Generic Elective - III | Generic Elective (Elective) | 4 | |
| SEC-3 | Skill Enhancement Course - III | Skill Enhancement Course (Elective) | 2 |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSE-2 (Math) | Probability and Statistics | Discipline Specific Elective (Mathematics) | 4 | Probability Theory, Random Variables and Distributions, Sampling Distributions, Hypothesis Testing, Regression and Correlation |
| DSE-2 (CS) | Artificial Intelligence | Discipline Specific Elective (Computer Science) | 4 | Introduction to AI, Problem Solving and Search, Knowledge Representation, Machine Learning Basics, Natural Language Processing Fundamentals |
| GE-4 | Generic Elective - IV | Generic Elective (Elective) | 4 | |
| SEC-4 | Skill Enhancement Course - IV | Skill Enhancement Course (Elective) | 2 |
