

BSC-HONS in Mathematics at College of Commerce, Arts & Science, Patna


Patna, Bihar
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About the Specialization
What is Mathematics at College of Commerce, Arts & Science, Patna Patna?
This Mathematics Hons program at College of Commerce, Arts & Science, Patna focuses on building a strong foundation in pure and applied mathematics. It covers core areas like calculus, algebra, analysis, and differential equations. The curriculum is designed to foster analytical thinking and problem-solving skills, which are highly valued in various sectors of the Indian economy, including finance, IT, and research. This program aims to equip students with the theoretical depth and practical abilities required for advanced studies or diverse career paths.
Who Should Apply?
This program is ideal for high school graduates with a strong aptitude and passion for mathematics, seeking entry into quantitative fields. It also suits individuals interested in pursuing higher education in mathematics or related scientific disciplines. Students with analytical minds, a curiosity for abstract concepts, and a desire to solve complex problems will find this specialization particularly engaging and rewarding, preparing them for intellectually stimulating careers.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including roles as data analysts, actuaries, financial modelers, statisticians, and educators. Entry-level salaries typically range from INR 3 to 6 LPA, with experienced professionals earning significantly more in sectors like IT, finance, and analytics. The program provides a solid base for competitive exams for government services and offers a pathway for postgraduate studies (M.Sc., Ph.D.) in mathematics or computer applications, ensuring strong growth trajectories in Indian companies.

Student Success Practices
Foundation Stage
Master Core Concepts and Problem Solving- (Semester 1-2)
Dedicate consistent time to understand fundamental concepts in Calculus and Algebra. Actively solve a wide range of problems from textbooks and reference materials daily. Focus on developing a strong conceptual understanding rather than rote memorization to build a solid academic base for advanced topics.
Tools & Resources
NCERT textbooks, R.D. Sharma, S. Chand, Khan Academy, YouTube tutorials for conceptual clarity
Career Connection
Strong fundamentals are crucial for competitive exams (e.g., UPSC, actuarial science) and for understanding advanced topics required in quantitative finance and data science.
Develop Peer Learning and Study Groups- (Semester 1-2)
Form small study groups with classmates to discuss difficult concepts, share problem-solving strategies, and clarify doubts. Explaining topics to others solidifies your own understanding. Engage in collaborative learning to tackle challenging assignments and prepare for examinations effectively.
Tools & Resources
WhatsApp groups, Google Meet, College library study rooms
Career Connection
Enhances communication and teamwork skills, vital for corporate roles and collaborative research environments. Also helps in developing a network for future professional guidance.
Engage with Departmental Activities and Faculty- (Semester 1-2)
Actively participate in departmental seminars, workshops, and quizzes. Regularly interact with faculty during office hours to seek clarification, discuss career paths, and explore areas of interest beyond the curriculum. This helps in gaining deeper insights and mentorship.
Tools & Resources
Departmental notice boards, Faculty office hours, College event calendars
Career Connection
Builds academic networking, opens doors for research opportunities, and provides mentorship, which can be invaluable for academic and career progression in India.
Intermediate Stage
Explore Mathematical Software and Programming- (Semester 3-5)
Begin learning mathematical software like MATLAB, Python (with NumPy, SciPy), or R for numerical analysis, data visualization, and statistical modeling. Apply these tools to solve problems encountered in Real Analysis, Differential Equations, and Linear Algebra to gain practical computational skills.
Tools & Resources
MATLAB, Python (Anaconda distribution), R Studio, Online coding platforms like HackerRank for Python basics
Career Connection
Essential for roles in data science, quantitative finance, and scientific computing, highly demanded in the Indian IT and analytics industries.
Participate in National Level Math Competitions- (Semester 3-5)
Challenge yourself by participating in national level mathematics competitions like the Indian National Mathematical Olympiad (INMO) or university-level math fests. This enhances problem-solving abilities under pressure and exposes you to advanced mathematical challenges.
Tools & Resources
Previous year papers, Online forums for competition prep, Books on competitive mathematics
Career Connection
Demonstrates strong analytical skills and intellectual rigor, highly attractive to top employers and for admission to prestigious postgraduate programs in India and abroad.
Undertake Mini-Projects and Research Papers- (Semester 3-5)
Work on small research projects or write short academic papers on topics of interest, potentially under faculty guidance. This helps in understanding research methodology, literature review, and presenting findings, fostering an investigative mindset.
Tools & Resources
JSTOR, arXiv, Google Scholar, Departmental faculty guidance
Career Connection
Develops independent research skills, crucial for academic careers, R&D roles, and contributes to a strong resume for postgraduate applications.
Advanced Stage
Pursue Internships in Quantitative Roles- (Semester 6)
Seek internships in companies offering quantitative roles, such as financial institutions (banks, investment firms), data analytics companies, or actuarial firms. This provides invaluable real-world experience, industry exposure, and networking opportunities.
Tools & Resources
LinkedIn, Internshala, College placement cell, Company career pages
Career Connection
Directly leads to pre-placement offers, strengthens resume for job applications, and helps in understanding industry expectations for a smooth transition into the professional world in India.
Focus on Specialization and Advanced Topics- (Semester 6)
Deep dive into the chosen Discipline Specific Electives (DSEs) and explore advanced topics through online courses or supplementary readings. Focus on building expertise in areas like Complex Analysis, Linear Programming, or Topology, which align with your career aspirations.
Tools & Resources
NPTEL courses, Coursera/edX for specialized math courses, Advanced textbooks
Career Connection
Develops a niche skill set for specialized roles in research, academia, or specific industry sectors like quantitative finance or operations research.
Prepare for Higher Education & Competitive Exams- (Semester 6)
Begin rigorous preparation for entrance examinations for M.Sc. in Mathematics, MCA, MBA, or other postgraduate degrees if aspiring for higher education. Simultaneously, prepare for competitive government exams that value strong analytical skills. Focus on previous year''''s papers and mock tests.
Tools & Resources
JAM, GATE exam guides, UPSC/SSC study materials, Coaching institutes, Online test series
Career Connection
Ensures readiness for career advancement through higher education or securing prestigious government jobs, leading to long-term professional growth and stability in India.
Program Structure and Curriculum
Eligibility:
- Intermediate (10+2) examination with Mathematics as one of the subjects and minimum 45% marks from a recognized board.
Duration: 3 years (6 semesters)
Credits: 116 Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MATH CC-1 | Calculus | Core | 6 | Limits and Continuity, Derivatives and their Applications, Integrals and Area, Sequences and Series, Multivariable Calculus Introduction, Polar Coordinates |
| MATH CC-2 | Algebra | Core | 6 | Complex Numbers, Polynomial Equations, Matrices and Determinants, Vector Spaces Basics, Equivalence Relations, System of Linear Equations |
| AECC-1 | Environmental Science / English Communication | Ability Enhancement Compulsory Course | 2 | Ecosystems and Biodiversity, Pollution and Waste Management, Environmental Ethics, Communication Skills, Reading Comprehension, Writing Skills |
| GE-1 | Generic Elective - I | Generic Elective (from other disciplines) | 6 | Subject of choice from other departments like Physics, Chemistry, Economics, etc. |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MATH CC-3 | Real Analysis | Core | 6 | Real Number System, Sequences of Real Numbers, Series of Real Numbers, Functions of a Single Real Variable, Continuity and Uniform Continuity, Compactness and Connectedness |
| MATH CC-4 | Differential Equations | Core | 6 | First Order Differential Equations, Second Order Linear Equations, Homogeneous Linear Equations, Power Series Solutions, Laplace Transforms, Systems of Differential Equations |
| AECC-2 | English Communication / Environmental Science | Ability Enhancement Compulsory Course | 2 | Communication Skills, Vocabulary and Grammar, Report Writing, Environmental Issues, Sustainable Development, Conservation |
| GE-2 | Generic Elective - II | Generic Elective (from other disciplines) | 6 | Subject of choice from other departments like Physics, Chemistry, Economics, etc. |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MATH CC-5 | Theory of Real Functions | Core | 6 | Metric Spaces, Limits and Continuity, Differentiation, Mean Value Theorems, Riemann Integral, Improper Integrals |
| MATH CC-6 | Group Theory | Core | 6 | Groups and Subgroups, Normal Subgroups, Homomorphisms and Isomorphisms, Permutation Groups, Sylow''''s Theorems, Group Actions |
| MATH CC-7 | Partial Differential Equations | Core | 6 | Formation of PDEs, First Order Linear PDEs, Charpit''''s Method, Second Order PDEs, Classification of PDEs, Wave and Heat Equations |
| SEC-1 | Logic and Sets / Computer Graphics / Graph Theory (Choose one) | Skill Enhancement Course | 2 | Propositional Logic, Set Theory Operations, Relations and Functions, Basic Graphics Primitives, Graph Traversal Algorithms, Matrix Representations |
| GE-3 | Generic Elective - III | Generic Elective (from other disciplines) | 6 | Subject of choice from other departments like Physics, Chemistry, Economics, etc. |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MATH CC-8 | Riemann Integration & Series of Functions | Core | 6 | Riemann Integrability, Fundamental Theorem of Calculus, Uniform Convergence, Power Series, Fourier Series, Improper Integrals of First and Second Kind |
| MATH CC-9 | Ring Theory & Linear Algebra I | Core | 6 | Rings, Integral Domains, Fields, Ideals and Quotient Rings, Linear Transformations, Vector Spaces, Bases and Dimension, Eigenvalues and Eigenvectors |
| MATH CC-10 | Metric Spaces | Core | 6 | Metric Spaces Definition, Open and Closed Sets, Convergence of Sequences, Completeness, Compactness, Connectedness |
| SEC-2 | Probability and Statistics / Operating System / LaTeX and HTML (Choose one) | Skill Enhancement Course | 2 | Probability Distributions, Statistical Inference, Data Analysis Basics, Operating System Concepts, LaTeX Document Preparation, HTML for Web Pages |
| GE-4 | Generic Elective - IV | Generic Elective (from other disciplines) | 6 | Subject of choice from other departments like Physics, Chemistry, Economics, etc. |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MATH CC-11 | Multivariant Calculus | Core | 6 | Functions of Several Variables, Partial Derivatives, Directional Derivatives, Implicit Function Theorem, Multiple Integrals, Vector Fields |
| MATH CC-12 | Linear Algebra II | Core | 6 | Inner Product Spaces, Orthogonality, Self-Adjoint Operators, Spectral Theorem, Quadratic Forms, Canonical Forms |
| DSE-1 | Discipline Specific Elective - I (e.g., Complex Analysis) | Discipline Specific Elective | 6 | Complex Numbers and Functions, Analytic Functions, Complex Integration, Series Expansions, Residue Theory, Conformal Mappings |
| DSE-2 | Discipline Specific Elective - II (e.g., Linear Programming) | Discipline Specific Elective | 6 | Introduction to Optimization, Simplex Method, Duality Theory, Transportation Problem, Assignment Problem, Game Theory Basics |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MATH CC-13 | Abstract Algebra | Core | 6 | Modules and Vector Spaces, Field Extensions, Galois Theory Introduction, Polynomial Rings, Unique Factorization Domains, Irreducibility Criteria |
| MATH CC-14 | Differential Geometry | Core | 6 | Curves in Space, Surfaces in Three Dimensions, First and Second Fundamental Forms, Gaussian Curvature, Geodesics, Weingarten Equations |
| DSE-3 | Discipline Specific Elective - III (e.g., Point Set Topology) | Discipline Specific Elective | 6 | Topological Spaces, Open and Closed Sets, Continuity, Connectedness, Compactness, Separation Axioms |
| DSE-4 | Discipline Specific Elective - IV (e.g., Dissertation / Project) | Discipline Specific Elective | 6 | Research Methodology, Literature Review, Problem Formulation, Data Analysis, Report Writing, Presentation Skills |




