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B.Sc. Mathematics - Computational Mathematics
Program details
The B.Sc. Mathematics in Computational Mathematics program offered by UPES School of Advanced Engineering is designed to provide students with a comprehensive understanding of the intersection between mathematics and computational techniques. This specialized program equips students with the knowledge and skills necessary to tackle complex challenges in diverse domains such as science, engineering, finance, and economics through the application of mathematical and computational methodologies.
Throughout the program, students will engage with both theoretical and practical aspects of computational mathematics. They will develop a strong foundation in traditional mathematical disciplines including calculus, linear algebra, differential equations, and numerical methods. Additionally, the curriculum will immerse students in the world of mathematical software and programming languages, enabling them to create mathematical models, analyze data, and derive meaningful insights.
A distinctive feature of this program is its emphasis on research. Students will have the opportunity to delve into advanced topics in computational mathematics, conduct independent research projects, and collaborate with faculty members on cutting-edge research initiatives. This hands-on research experience will not only foster critical thinking and problem-solving skills but also enable students to apply their mathematical prowess to real-world scenarios. Graduates of this program will emerge with a strong foundation in mathematics, proficient programming abilities, and the capacity to innovate and address intricate challenges using computational techniques.
Program Highlights
- The B.Sc. Mathematics in Computational Mathematics program focuses on cultivating practical problem-solving skills through computation-based methods, preparing students to tackle real-world challenges effectively.
- We offer a strong foundation in scientific methodology and essential computational skills, aligning with industry demands and enhancing students' employability in various sectors.
- Students receive comprehensive placement assistance, ensuring a seamless transition from academia to the professional world and maximizing their career opportunities.
- Our program supports students in preparing for competitive exams such as JAM, empowering them to pursue advanced studies and research in mathematics and related fields.
- Students engage in research projects that bridge mathematics and computation, fostering innovation and critical thinking for solving complex mathematical problems.
- The curriculum integrates industry-relevant content, exposing students to practical applications of computational mathematics and enhancing their adaptability to evolving technological landscapes.
Future Scope / Industry Trends
The B.Sc. Mathematics in Computational Mathematics program at UPES School of Advanced Engineering offers a promising future scope. Graduates are well-equipped to embark on careers in academia or research institutions. The program's focus on computational mathematics aligns with the financial industry's need for intricate calculations and risk evaluation. Graduates can delve into algorithm development, code optimization, and the creation of mathematical software tools. This program opens doors to diverse opportunities where mathematical expertise intersects with technology, making graduates valuable assets in multiple sectors, from academia to finance and beyond.
Career Opportunities
Completing the B.Sc. Mathematics in Computational Mathematics program at UPES School of Advanced Engineering opens doors to a diverse array of lucrative career paths. Graduates can step into roles such as Data Scientist, employing their analytical skills to draw insights from complex data; Quantitative Analysts, applying mathematical models in finance and risk analysis; Actuaries, specializing in assessing financial uncertainty and risk; Operations Research Analysts, optimizing solutions across industries; Research Associates, contributing to academic and industrial research projects; Consultants, offering expert mathematical advice to businesses; Cryptographers, safeguarding information through encryption; and Software Developers, creating innovative solutions with strong computational foundations. This program equips graduates with a versatile skill set, enabling them to thrive in dynamic fields that require both mathematical prowess and technological expertise.
Placements
The placements for the B.Sc. Mathematics in Computational Mathematics program at UPES School of Advanced Engineering exemplify the program's strong emphasis on producing industry-ready graduates. With a comprehensive curriculum blending mathematical theory, computational techniques, and research acumen, students are equipped with the skills demanded by the modern job market. This translates into exceptional placement outcomes, where graduates secure rewarding positions in diverse sectors such as technology, finance, data science, research, and academia. The program's collaborative partnerships with leading industries and its focus on practical application ensure that graduates not only possess a solid theoretical foundation but also the ability to tackle real-world challenges, making them highly sought-after professionals in their chosen fields.
Fee Structure
Click here for detailed Fee Structure.
Curriculum
Semester 1
Course | L | T | P | Credits |
---|---|---|---|---|
Linear Algebra I | 3 | 1 | 0 | 4 |
Differential Calculus | 3 | 0 | 2 | 4 |
Environment Sustainability & Climate Change | 2 | 0 | 0 | 2 |
Critical Thinking | 2 | 0 | 0 | 2 |
Computational Techniques | 2 | 0 | 0 | 2 |
Minor - I | 4 | 0 | 0 | 4 |
Total | 16 | 1 | 2 | 18 |
Semester 2
Course | L | T | P | Credits |
---|---|---|---|---|
Real Analysis I | 3 | 1 | 0 | 4 |
Linear Algebra II | 3 | 1 | 0 | 4 |
Analytical Geometry | 3 | 1 | 0 | 4 |
Environment Sustainability & Climate Change | 0 | 0 | 4 | 2 |
Living Conversations | 2 | 0 | 0 | 2 |
Constitution and Indian polity | 2 | 0 | 0 | 2 |
Minor – II | 4 | 0 | 0 | 4 |
Total | 17 | 3 | 4 | 22 |
Semester 3
Course | L | T | P | Credits |
---|---|---|---|---|
Real Analysis II | 3 | 1 | 0 | 4 |
Integral Calculus | 3 | 0 | 2 | 4 |
Ordinary Differential Equations | 3 | 0 | 2 | 4 |
Skill Enhancement Electives I | 2 | 0 | 0 | 2 |
Design Thinking | 2 | 0 | 0 | 2 |
Social Internship | 0 | 0 | 0 | 0 |
Minor – III | 4 | 0 | 0 | 4 |
Total | 17 | 1 | 4 | 20 |
Semester 4
Course | L | T | P | Credits |
---|---|---|---|---|
Mechanics | 3 | 1 | 0 | 4 |
Complex Analysis | 3 | 1 | 0 | 4 |
Partial Differential Equations | 3 | 0 | 2 | 4 |
Skill Enhancement Electives I | 2 | 0 | 0 | 2 |
Working with Data | 2 | 0 | 0 | 2 |
Minor - IV | 4 | 0 | 0 | 4 |
Total | 17 | 2 | 2 | 20 |
Semester 5
Course | L | T | P | Credits |
---|---|---|---|---|
Abstract Algebra | 3 | 1 | 0 | 4 |
Probability and Statistics | 3 | 1 | 0 | 4 |
Leadership & Teamwork | 2 | 0 | 0 | 2 |
Technonologies of Future/Meta 101 | 2 | 0 | 0 | 2 |
Minor -V | 4 | 0 | 0 | 4 |
Summer Training/Internship /Projects | 0 | 0 | 10 | 5 |
Scientific Communication | 1 | 0 | 0 | 5 |
Total | 15 | 2 | 10 | 22 |
Semester 6
Course | L | T | P | Credits |
---|---|---|---|---|
Numerical Analysis | 3 | 0 | 2 | 4 |
Minor -VI | 4 | 0 | 0 | 4 |
Linear Programming | 3 | 1 | 0 | 4 |
Mathematical Modelling | 3 | 0 | 2 | 4 |
Start your own Start-up | 2 | 0 | 0 | 2 |
Total | 15 | 1 | 4 | 18 |
Semester 7
Course | L | T | P | Credits |
---|---|---|---|---|
Advanced Numerical Techniques | 2 | 0 | 2 | 3 |
Discrete Mathematics | 3 | 0 | 0 | 3 |
Elective I | 3 | 1 | 0 | 4 |
Elective II | 3 | 1 | 0 | 4 |
Minor VII | 3 | 1 | 0 | 4 |
Research Methodology & Ethics | 2 | 0 | 0 | 2 |
Total | 16 | 3 | 2 | 20 |
Semester 8
Course | L | T | P | Credits |
---|---|---|---|---|
Minor VIII | 3 | 1 | 0 | 4 |
Elective III | 3 | 1 | 0 | 4 |
Integral equations & Calculus of Variations | 3 | 0 | 0 | 3 |
Topology | 3 | 0 | 0 | 3 |
Dissertation | 0 | 2 | 12 | 6 |
Total | 12 | 4 | 12 | 20 |
As per NEP, multiple exit options are also available. After securing the requisite
40, 80, 120, 160 credits, Student on exit shall be awarded Certificate, Diploma, 3
Year UG Degree, 4 Year UG (H)/4 Year UG (H) with Research.
Eligibility
Interested students must meet the following minimum eligibility criteria for B.Sc. Mathematics in Computational Mathematics: Minimum 50% marks in Class X and XII (PCM/B).
Selection Criteria
The selection criteria for individuals aspiring to enroll in the B.Sc. Mathematics in Computational Mathematics program at UPES School of Advanced Engineering rely on Personal Interview.