

B-SC in Mathematics at Shri Krishna Institute of Management & Science


Sambhal, Uttar Pradesh
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About the Specialization
What is Mathematics at Shri Krishna Institute of Management & Science Sambhal?
This B.Sc Mathematics program at Shri Krishna Institute of Management & Science focuses on building a robust foundation in both pure and applied mathematical concepts. It systematically covers core areas such as Calculus, Algebra, Analysis, Differential Equations, and Numerical Methods, fostering critical thinking, analytical reasoning, and advanced problem-solving capabilities. The curriculum is meticulously designed to align with the evolving demands for quantitatively skilled professionals across diverse sectors within the Indian economy, preparing graduates for a wide array of career paths where mathematical aptitude is paramount.
Who Should Apply?
This program is ideally suited for 10+2 graduates who possess a strong aptitude for logical reasoning, abstract concepts, and a keen interest in theoretical frameworks. It targets students aspiring for advanced academic pursuits in mathematics, statistics, data science, or actuarial science. Furthermore, it is beneficial for those seeking entry-level positions in finance, information technology, research, or the education sector in India. Individuals aiming to bolster their quantitative skills for competitive examinations will also find this comprehensive program highly valuable.
Why Choose This Course?
Graduates of this program can anticipate diverse and rewarding career trajectories within India, encompassing roles such as data analysts, actuarial assistants, educators, statisticians, research associates, and quantitative analysts in both the public and private sectors. Entry-level salaries for fresh graduates typically range from INR 3 LPA to 6 LPA, with substantial growth potential reaching INR 10-15 LPA or more with accumulating experience and expertise. The program provides a solid academic base essential for pursuing professional certifications in areas like actuarial science or advanced data analytics, significantly enhancing long-term career prospects in the dynamic Indian job market.

Student Success Practices
Foundation Stage
Master Core Mathematical Concepts and Problem-Solving Techniques- (Semester 1-2)
Dedicate consistent effort to thoroughly understand fundamental theorems, definitions, and proofs. Regularly practice a diverse range of problems from standard textbooks and previous year''''s question papers. Emphasize developing robust problem-solving strategies over mere memorization, ensuring a deep conceptual grasp.
Tools & Resources
NCERT Mathematics textbooks (for foundational clarity), Higher secondary books like R.D. Sharma or S. Chand for extensive practice, Online platforms such as Khan Academy or NPTEL for conceptual reinforcement, Organize and participate in peer study groups
Career Connection
A strong foundation in core mathematics is indispensable for succeeding in advanced courses, excelling in competitive examinations, and securing quantitative roles in finance, data science, research, or academia.
Develop Foundational Programming and Computational Skills- (Semester 1-2)
Complement theoretical mathematical knowledge with practical computational proficiency. Begin learning a versatile programming language like Python or C++ to implement algorithms, solve numerical problems, and visualize mathematical concepts. This fosters analytical thinking and opens pathways to technology-driven careers.
Tools & Resources
Free online Python/C++ tutorials (e.g., GeeksforGeeks, W3Schools, HackerRank), Jupyter notebooks or Google Colab for interactive mathematical computing, Introductory programming courses from NPTEL or Coursera
Career Connection
Acquiring these skills is critically important for roles in data analysis, quantitative finance, scientific computing, and IT, which are experiencing high demand in the burgeoning Indian job market.
Cultivate Effective Study Habits and Time Management Strategies- (Semester 1-2)
Establish a consistent and disciplined study routine, prioritizing topics based on difficulty and weightage. Avoid last-minute cramming by engaging in regular revisions and self-assessment. Actively utilize university library resources and ensure attendance in all lectures for comprehensive understanding.
Tools & Resources
Digital or physical planners/calendars for scheduling, Employ productivity techniques like the Pomodoro Technique for focused study, Leverage university library facilities and online academic databases, Regularly attend professor office hours for clarifications
Career Connection
Achieving consistent academic excellence not only builds confidence but also enhances prospects for higher education admissions and makes a strong impression on potential employers during placement drives.
Intermediate Stage
Engage in Applied Mathematics Projects and Internships- (Semester 3-4)
Actively seek opportunities for mini-projects or short-term internships, even if initially unpaid, to apply learned mathematical theories to real-world challenges. Explore roles in local startups, educational institutions, or non-governmental organizations that require data handling, statistical analysis, or mathematical modeling.
Tools & Resources
University career services and placement cells for internship listings, LinkedIn for professional networking and internship postings, Local startup incubators and industry associations, Kaggle or similar platforms for data science projects
Career Connection
Practical experience significantly strengthens your resume, provides invaluable industry exposure, and helps clarify long-term career interests, which are crucial for securing placements in the Indian job market.
Participate in Mathematics Competitions and Olympiads- (Semester 3-5)
Challenge and refine your advanced problem-solving capabilities by actively participating in national or regional mathematics competitions and Olympiads. This process develops critical thinking, exposes you to complex mathematical challenges beyond the standard curriculum, and fosters a deeper appreciation for the subject.
Tools & Resources
Information on Indian National Mathematical Olympiad (INMO) and other regional contests, MOOCs and specialized books on advanced problem-solving strategies (e.g., ''''Problem-Solving Strategies'''' by Arthur Engel), Past papers and solutions from various competitions
Career Connection
Success or even participation in such prestigious competitions demonstrates exceptional aptitude, dedication, and resilience, which are highly valued by academic institutions for postgraduate admissions and by research-focused companies.
Explore Data Science and Statistical Software Proficiency- (Semester 3-5)
Recognizing mathematics as the foundational pillar of data science, strategically begin learning and mastering statistical software packages like R or advanced Python libraries (e.g., NumPy, SciPy, Pandas). Develop a strong understanding of statistical concepts and their practical application, which is immensely relevant for India''''s rapidly expanding data industry.
Tools & Resources
R Studio and associated R packages, Python with the Anaconda distribution, Online courses on Data Science from platforms like Coursera, edX, or Udacity, NPTEL courses on Statistics and Data Analytics
Career Connection
Directly prepares you for highly sought-after roles such as Data Analyst, Business Analyst, or Statistician, which are in significant demand across various Indian sectors including IT, finance, e-commerce, and healthcare.
Advanced Stage
Undertake a Significant Research Project or Dissertation- (Semester 5-6)
Collaborate closely with a faculty member on an in-depth research project or embark on a comprehensive dissertation in your final year. This opportunity allows for profound exploration of a specific mathematical domain, cultivates independent research skills, and can potentially lead to academic publications or conference presentations.
Tools & Resources
Access to university research labs and departmental resources, Exploration of academic journals (e.g., Resonance, Journal of the Indian Mathematical Society), Participation in research methodology workshops and seminars
Career Connection
This experience is invaluable for students aspiring to pursue M.Sc or Ph.D programs in mathematics or related fields, and is highly regarded for R&D roles in scientific institutions or specialized think tanks in India.
Intensive Preparation for Placements and Higher Education Entrance Exams- (Semester 5-6)
Actively prepare for campus placements by rigorously honing your aptitude, logical reasoning, quantitative skills, and communication abilities. Concurrently, conduct thorough research and prepare for relevant entrance examinations such as JAM (for M.Sc admissions), CAT (for MBA programs), or other competitive exams for government sector jobs, aligning with your desired career trajectory.
Tools & Resources
Standard aptitude books (e.g., R.S. Aggarwal, Arun Sharma), Participate in mock interviews and group discussions organized by the college, Utilize online platforms dedicated to competitive exam preparation, Seek guidance from the university''''s career counseling and placement cell
Career Connection
Directly influences immediate career outcomes, enabling you to secure promising placements in reputable Indian companies or gain admission to prestigious postgraduate programs, thereby shaping your professional future.
Network Extensively and Seek Professional Mentorship- (Semester 5-6)
Proactively connect with alumni, faculty members, and industry professionals through academic seminars, workshops, and online professional platforms. Building a robust professional network can provide invaluable career guidance, lead to internship opportunities, and uncover potential job openings within the vast Indian professional landscape.
Tools & Resources
LinkedIn for professional networking and industry insights, Engage with the university''''s alumni association events and initiatives, Attend meetings and conferences of professional bodies (e.g., Indian Mathematical Society), Participate in industry guest lectures and mentorship programs
Career Connection
Mentorship and networking are pivotal for long-term career planning, identifying niche opportunities, and effectively navigating the complexities and challenges of a professional career in India.
Program Structure and Curriculum
Eligibility:
- Intermediate (10+2) with Mathematics as a subject from a recognized Board/University.
Duration: 3 years (6 semesters)
Credits: Credits not specified
Assessment: Internal: 25%, External: 75%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BSCMATH101 | Differential Calculus | Major Core | 4 | Limit, Continuity and Differentiability, Successive Differentiation, Leibnitz Theorem, Rolle''''s and Mean Value Theorems, Taylor''''s and Maclaurin''''s Series, Maxima and Minima of functions of one and two variables, Partial Differentiation, Euler''''s Theorem, Jacobians, Asymptotes, Curve Tracing |
| BSCMATH102 | Integral Calculus | Major Core | 4 | Integration of Irrational Functions, Reduction Formulae, Quadrature, Rectification, Volume and Surface Area of Solids of Revolution, Multiple Integrals (Double and Triple Integrals), Beta and Gamma Functions, Dirichlet''''s Integrals, Differentiation under the Integral Sign |
| BCC-101 | Co-curricular Course: Food, Nutrition & Hygiene | Co-curricular | 2 | Basics of Food and Nutrition, Macronutrients and Micronutrients, Balanced Diet, Malnutrition and its effects, Food Adulteration, Food Safety Standards, Personal and Community Hygiene, Sanitation, Common Communicable and Non-Communicable Diseases and Prevention |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BSCMATH201 | Differential Equations | Major Core | 4 | First Order Differential Equations (exact, linear, homogeneous, Bernoulli''''s), Orthogonal Trajectories, Applications to growth/decay problems, Higher Order Linear Differential Equations with Constant Coefficients, Cauchy-Euler Equation, Legendre''''s Linear Equation, Method of Variation of Parameters, Undetermined Coefficients, Simultaneous Differential Equations |
| BSCMATH202 | Vector Analysis | Major Core | 4 | Vector Algebra (Scalar and Vector products, Triple products), Vector Differentiation (Gradient, Divergence, Curl), Vector Identities, Solenoidal and Irrotational Vectors, Vector Integration (Line, Surface, Volume Integrals), Green''''s, Gauss''''s Divergence and Stokes'''' Curl Theorems |
| BVC-201 | Vocational Course: Basic Computer Applications | Vocational | 2 | Fundamentals of Computers, Hardware and Software, Operating Systems (Introduction to Windows, Linux basics), MS Office Suite (Word, Excel, PowerPoint - basic functions), Internet and Web Browsing, Email Communication, Introduction to Data Management and Security |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BSCMATH301 | Real Analysis | Major Core | 4 | Real Number System, Countability, Completeness, Sequences and Series of Real Numbers, Convergence Tests, Uniform Convergence of Sequence and Series of Functions, Continuity and Differentiability of Functions of Several Variables, Riemann Integral, Fundamental Theorem of Calculus, Improper Integrals, Beta and Gamma Functions |
| BSCMATH302 | Abstract Algebra | Major Core | 4 | Groups, Subgroups, Cyclic Groups, Permutation Groups, Normal Subgroups, Quotient Groups, Isomorphism Theorems, Rings, Integral Domains, Fields, Subrings, Ideals, Principal Ideal Domains, Maximal and Prime Ideals, Homomorphism and Isomorphism for Rings |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BSCMATH401 | Partial Differential Equations | Major Core | 4 | Formation of PDEs, Solutions by direct integration, First Order Linear PDEs (Lagrange''''s Method), First Order Non-Linear PDEs (Charpit''''s Method, Standard Forms), Homogeneous and Non-Homogeneous Linear PDEs with Constant Coefficients, Classification of Second Order PDEs (Canonical Forms), Wave Equation, Heat Equation, Laplace Equation (separation of variables) |
| BSCMATH402 | Numerical Methods | Major Core | 4 | Errors in Numerical Calculations, Sources of Error, Solution of Algebraic and Transcendental Equations (Bisection, Newton-Raphson, Regula Falsi), Interpolation (Newton''''s Forward/Backward, Lagrange''''s, Divided Differences), Numerical Differentiation and Integration (Trapezoidal Rule, Simpson''''s Rules), Solution of Linear System of Equations (Gauss Elimination, Gauss-Seidel, Jacobi Iteration) |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BSCMATH501 | Linear Algebra | Major Core | 4 | Vector Spaces and Subspaces, Linear Dependence and Independence, Basis and Dimension, Sum and Direct Sum of Subspaces, Linear Transformations, Rank-Nullity Theorem, Matrix Representation, Eigenvalues and Eigenvectors, Cayley-Hamilton Theorem, Inner Product Spaces, Gram-Schmidt Orthogonalization Process |
| BSCMATH502 | Complex Analysis | Major Core | 4 | Complex Numbers and Functions, Limits, Continuity, Differentiability, Analytic Functions, Cauchy-Riemann Equations, Complex Integration, Cauchy''''s Integral Theorem and Formula, Taylor Series, Laurent Series, Zeros and Singularities, Residue Theorem and its Applications, Conformal Mapping |
| BSCMATH503(E) | Major Elective (e.g., Mechanics) | Major Elective | 4 | Kinematics of a Particle, Rectilinear and Curvilinear Motion, Newton''''s Laws of Motion, Work, Energy, Power, Conservation Laws (Energy, Momentum, Angular Momentum), Virtual Work, Common Catenary, Moments of Inertia, Parallel and Perpendicular Axes Theorem, Motion of a Rigid Body, Central Orbits |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BSCMATH601 | Metric Spaces and Topology | Major Core | 4 | Metric Spaces, Open and Closed Balls, Neighborhoods, Convergent Sequences, Cauchy Sequences, Completeness, Compactness, Connectedness in Metric Spaces, Topological Spaces, Open and Closed Sets, Basis, Subspaces, Continuous Mappings, Homeomorphism |
| BSCMATH602 | Special Functions and Integral Transforms | Major Core | 4 | Gamma and Beta Functions, Properties and Relations, Legendre Polynomials, Bessel Functions (solutions of differential equations), Laplace Transform and its Inverse, Properties, Applications of Laplace Transform to Differential Equations, Fourier Series (Dirichlet''''s conditions, half-range series), Fourier Transform and its Properties |
| BSCMATH603(P) | Project Work / Dissertation | Project | 4 | Problem Identification and Formulation in a mathematical domain, Literature Review and Research Methodology, Data Analysis, Mathematical Modelling, Simulation, Report Writing, Presentation, and Viva Voce, Application of mathematical concepts to real-world scenarios |




