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B-SC-HONS in Mathematics at Amity University, Kolkata
Kolkata, West Bengal
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About the Specialization
What is Mathematics at Amity University, Kolkata Kolkata?
This B.Sc (Hons) Mathematics program at Amity University, North 24 Parganas, West Bengal, focuses on building a strong theoretical and applied foundation in mathematical sciences. It emphasizes analytical thinking, problem-solving skills, and computational techniques, crucial for diverse Indian industries. The curriculum blends pure and applied mathematics, preparing students for both higher studies and industry roles in data science, finance, and research.
Who Should Apply?
This program is ideal for high school graduates with a strong aptitude for mathematics, seeking a rigorous academic foundation. It suits aspiring researchers, educators, and those aiming for careers in quantitative fields like finance, data analytics, and actuarial science. Students should possess logical reasoning abilities and an interest in abstract concepts, with strong 10+2 performance in Mathematics.
Why Choose This Course?
Graduates of this program can expect promising career paths in India, including data analyst, quantitative researcher, actuarial analyst, or educator. Entry-level salaries typically range from INR 3-6 LPA, growing significantly with experience. Opportunities exist in IT firms, financial services, and educational institutions. Professional certifications in data science or actuarial science can further enhance career growth.
Student Success Practices
Foundation Stage
Master Core Mathematical Concepts- (Semester 1-2)
Focus intently on understanding fundamental concepts in Calculus, Algebra, and Probability. Utilize textbooks, online lectures (e.g., NPTEL, Khan Academy), and peer study groups to solidify basics. Regular problem-solving practice is key to build a strong mathematical intuition.
Tools & Resources
NPTEL courses for Mathematics, Khan Academy, Reference textbooks (e.g., NCERT, local university books), Peer study groups
Career Connection
A strong foundation in these core areas is essential for advanced studies and directly applicable to analytical roles in finance, data science, and engineering fields, improving eligibility for competitive exams.
Develop Programming and Computational Skills- (Semester 1-2)
Engage actively with ''''Problem Solving in C'''' and ''''Data Structures using C'''' courses. Practice coding challenges on platforms like HackerRank and LeetCode. Understanding computational logic is vital for modern applied mathematics careers.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, C programming IDEs
Career Connection
Proficiency in programming opens doors to quantitative analyst, data scientist, and software development roles, making graduates more versatile and attractive to tech and finance companies.
Enhance Communication and Behavioral Skills- (Semester 1-2)
Actively participate in communication skills classes, group discussions, and presentations. Focus on improving soft skills like teamwork, critical thinking, and professional etiquette, which are highly valued by employers in India.
Tools & Resources
Amity''''s Behavioural Science modules, Online public speaking courses, Group project work
Career Connection
Strong communication and interpersonal skills are crucial for interviews, professional networking, and effective collaboration in any professional setting, leading to better placement opportunities.
Intermediate Stage
Deep Dive into Advanced Mathematical Theories- (Semester 3-5)
Excel in subjects like Real Analysis, Group Theory, and Linear Algebra. Seek out advanced problems, participate in mathematics Olympiads or contests, and explore research papers in areas of interest to gain deeper theoretical insight.
Tools & Resources
Advanced textbooks (e.g., Rudin, Dummit & Foote), Mathematics journals (e.g., Indian Academy of Sciences journals), Online problem-solving forums
Career Connection
Mastery of advanced theories is critical for pursuing higher education (M.Sc, Ph.D.) and research-oriented roles in academia or R&D departments of Indian corporations.
Explore Computational and Numerical Applications- (Semester 3-5)
Apply ''''Computational Mathematics'''' and ''''Numerical Methods'''' concepts using software like MATLAB, Python with NumPy/SciPy, or R. Work on mini-projects that involve solving real-world problems numerically to build practical experience.
Tools & Resources
MATLAB/Octave, Python with SciPy/NumPy, R programming language, Kaggle for datasets and competitions
Career Connection
Practical skills in computational tools are highly sought after in data science, scientific computing, and financial modeling roles across various Indian industries, enhancing employability.
Engage in Internships and Project Work- (Semester 3-5)
Actively seek internships during summer breaks with startups, IT companies, or research institutions in quantitative analysis or data science roles. Work on semester-long projects that apply mathematical concepts to real-world scenarios to build a strong portfolio.
Tools & Resources
Internshala, LinkedIn for internship postings, University career services, Faculty mentorship for projects
Career Connection
Internships provide invaluable industry exposure, networking opportunities, and a competitive edge during placements. Projects demonstrate practical application of knowledge, appealing to employers.
Advanced Stage
Specialize through Elective Choices- (Semester 5-6)
Carefully select Discipline Specific Electives (DSEs) and Generic Electives (GEs) that align with career interests, such as Financial Mathematics for finance, Graph Theory for computer science applications, or Image Processing for data science. Deepen knowledge in chosen areas.
Tools & Resources
Course catalogs, faculty advisors for guidance, Industry whitepapers related to elective topics, Specialized online courses
Career Connection
Strategic elective choices allow for specialization, making graduates more attractive to specific industry segments and preparing them for niche roles with higher earning potential in India.
Undertake a Comprehensive Dissertation/Project- (Semester 6)
Invest significant effort in the Dissertation in Semester 6. Choose a relevant and challenging topic, conduct thorough research, and present findings effectively. This capstone project showcases independent research and problem-solving abilities.
Tools & Resources
Academic databases (JSTOR, IEEE Xplore), Research methodology guides, Statistical software (SPSS, R, Python)
Career Connection
A strong dissertation is a powerful resume builder, demonstrating advanced research, analytical, and presentation skills, crucial for academic careers, R&D roles, and even top-tier placements.
Focus on Placement Preparation and Networking- (Semester 5-6)
Attend placement drives, workshops on resume building, and mock interviews. Network with alumni and industry professionals through university events and LinkedIn. Prepare for quantitative aptitude tests and technical interviews that are common in Indian recruitment processes.
Tools & Resources
Amity''''s Career Resource Centre, LinkedIn, Aptitude test prep books, Company-specific previous year papers
Career Connection
Proactive placement preparation significantly increases the chances of securing desirable job offers from leading Indian and multinational companies, ensuring a smooth transition into the professional world.
Program Structure and Curriculum
Eligibility:
- 10+2 with minimum 55% marks
Duration: 6 semesters / 3 years
Credits: 117 Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BOM101 | Calculus - I | Core | 4 | |
| BOM102 | Algebra - I | Core | 4 | |
| BOM103 | Probability and Statistics | Core | 4 | |
| BOM104 | Problem Solving in C | Core | 4 | |
| EVS101 | Environmental Studies | Compulsory Foundation Course | Non Credit | |
| BSS101 | Behavioural Science - I | Compulsory Foundation Course | Non Credit | |
| FLA101 | Foreign Language - I | Compulsory Foundation Course | Non Credit |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BOM201 | Calculus - II | Core | 4 | |
| BOM202 | Algebra - II | Core | 4 | |
| BOM203 | Differential Equations | Core | 4 | |
| BOM204 | Data Structures using C | Core | 4 | |
| BCS201 | Communication Skills - I | Compulsory Foundation Course | 1 | |
| BSS202 | Behavioural Science - II | Compulsory Foundation Course | Non Credit | |
| FLA202 | Foreign Language - II | Compulsory Foundation Course | Non Credit |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BOM301 | Real Analysis - I | Core | 4 | |
| BOM302 | Group Theory - I | Core | 4 | |
| BOM303 | Linear Algebra - I | Core | 4 | |
| BOM304 | Computational Mathematics | Core | 4 | |
| BCS301 | Communication Skills - II | Compulsory Foundation Course | 1 | |
| BSS303 | Behavioural Science - III | Compulsory Foundation Course | Non Credit | |
| FLA303 | Foreign Language - III | Compulsory Foundation Course | Non Credit |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BOM401 | Real Analysis - II | Core | 4 | |
| BOM402 | Group Theory - II | Core | 4 | |
| BOM403 | Linear Algebra - II | Core | 4 | |
| BOM404 | Numerical Methods | Core | 4 | |
| BCS401 | Communication Skills - III | Compulsory Foundation Course | 1 | |
| BSS404 | Behavioural Science - IV | Compulsory Foundation Course | Non Credit | |
| FLA404 | Foreign Language - IV | Compulsory Foundation Course | Non Credit |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BOM501 | Complex Analysis - I | Core | 4 | |
| BOM502 | Ring Theory - I | Core | 4 | |
| BOM503 | Multivariate Calculus | Core | 4 | |
| BOM504 | Discipline Specific Elective - I | Elective | 4 | Differential Geometry, Graph Theory, Mathematical Modelling, Bio-Mathematics |
| BOM505 | Discipline Specific Elective - II | Elective | 4 | Linear Programming, Cryptography, Financial Mathematics, Image Processing |
| BVAS01 | Value Added Course - I | Value Added | Non Credit | |
| BGE501 | Generic Elective - I | Elective | 4 | General Computer Science, Introduction to Physics, Principles of Economics |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BOM601 | Complex Analysis - II | Core | 4 | |
| BOM602 | Ring Theory - II | Core | 4 | |
| BOM603 | Topology | Core | 4 | |
| BOM604 | Discipline Specific Elective - III | Elective | 4 | Theory of Equations, Tensor Analysis, Elementary Number Theory, Fuzzy Set Theory |
| BOM605 | Dissertation | Project | 6 | Research Methodology, Literature Review, Data Analysis, Report Writing, Presentation |
| BVAS02 | Value Added Course - II | Value Added | Non Credit | |
| BGE601 | Generic Elective - II | Elective | 4 | Introduction to Psychology, Basics of Sociology, General Chemistry |
