B.Sc Mathematics and Computing Course Admission Open 2024
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Duration

4 Years
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Eligibility

12th with PCM.
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Fees

Total 2,79,000 INR only

Admission Open 2024-25 | B.Sc. in Mathematics and Computing

About B.Sc. in Mathematics and Computing

A Bachelor of Science (B.Sc.) in Mathematics and Computing is an interdisciplinary program that combines mathematical principles with computer science concepts. This program is designed to provide students with a strong foundation in both mathematics and computing, preparing them for a variety of careers that require expertise in both areas.

Curriculum:

  • Mathematics Courses: Typically, students study a range of advanced mathematical topics such as calculus, linear algebra, discrete mathematics, probability, and statistics.
  • Computer Science Courses: The computing component may include courses in programming, algorithms, data structures, databases, and computer architecture.

Interdisciplinary Focus:

This program aims to bridge the gap between theoretical mathematics and practical computing ,allowing students to apply mathematical concepts to solve real-world problems using computational methods.

Skills Developed:

  • Graduates of this program develop strong analytical, problem-solving, and programming skills.
  • They gain proficiency in mathematical modeling, data analysis, and algorithm development.

Career Opportunities:

  • Graduates can pursue careers in various fields, including software development, data analysis, finance, cryptography, research, and academia.
  • The interdisciplinary nature of the program opens up opportunities in industries where both mathematical reasoning and computational skills are valued.

Research Opportunities:

Graduates can engage in projects that involve both mathematics and computing.

Advanced Studies:

  • Graduates may choose to pursue advanced studies in areas such as applied mathematics, computer science, data science, or related fields at the master’s or doctoral level.

Duration:

  • The duration of a B.Sc. in Mathematics and Computing program is four years

Programme Overview

ELIGIBILITY CRITERIA:
  1. Candidate must have passed 10+2 or equivalent examination from recognized board with Mathematics/ Mathematics & Statistics as compulsory subject with minimum 55% aggregate marks in any stream (Science/Commerce/Arts with Mathematics/ Mathematics & Statistics).
  2. In case the mark sheet issued by the applicable Board / Institution is in percentiles, the actual aggregate percentage of all the subjects appeared by the candidate will be taken into consideration
Program Educational Objectives (PEO):

PEO-1 Provide sufficient understanding of the fundamental mathematical concepts, theories, and computational principles to address challenges faced in mathematics and other related interdisciplinary fields.

PEO-2 Facilitate as a deep learner and progressive careers in teaching, academia, research organizations, national/international laboratories and industry.

PEO-3 Enhance written and oral communication skills, enabling students to effectively convey complex mathematical and computational ideas to diverse audiences.

PEO-4 Foster a research-oriented mindset and encourage innovation in applying mathematical and computational concepts to address emerging challenges in science, technology, and industry

PEO-5 Engage in lifelong learning, career enhancement and adapt to changing professional and societal needs

Program Outcomes (POs):

PO-1 Graduates will have a comprehensive understanding of core mathematical concepts, including calculus, algebra, discrete mathematics, and statistics.

PO-2 Develop strong programming skills and proficiency in using computational tools for   problem-solving, data analysis, and mathematical modeling.

PO-3 Acquire the ability to approach problems from an interdisciplinary perspective, integrating mathematical principles with computational methods to address complex challenges.

PO-4 Gain expertise in collecting, processing, and interpreting data using statistical methods and computational tools, with the ability to draw meaningful conclusions.

PO-5 Develop strong written and oral communication skills to articulate mathematical and computational ideas clearly and concisely to diverse audiences, including both technical and non-technical stakeholders.

PO-6 Be well-prepared for further studies in graduate programs or careers in diverse fields such as data science, software development, financial analysis, research, education, and more.

PO-7 Apply problem-solving skills and critical thinking to assume leadership roles in addressing challenges in various sectors, including industry, academia, government, and non-profit organizations.

Scope of the course
  1. After completion of this program students can pursue higher studies in Mathematics/Statistics/M. Tech.
  2. They can get admissions into IIT’s, Management schools after clearing national level exams like JAM, CAT etc.
  3. They can be placed professions in various industries such as Finance, software, telecom, pharmaceuticals, consulting engineering, and government organizations.

Course Structure with Credit Details

Sl. No. Course Code Title of the Course Total Credits
1 MAT101 Calculus 04
2 MAT102 Linear Algebra 04
3 PHC101 Physics 04
4 PHC102 Physics Lab 01
5 CSC101 Programming Fundamentals using C 03
6 CSC102 Programming Fundamentals using C Lab 02
7 HSC111 Environmental Science 02
8 MC111/112/113/114 NCC/NSS/PT& Games NC
Sl. No. Course Code Title of the Course Total Credits
1 MAT201 Abstract Algebra-I 04
2 MAT202 Differential Equation-I 04
3 CHC201 Chemistry 04
4 CHC202 Chemistry Lab 01
5 CSC201 Data Structures 03
6 CSC201 Data Structures Lab 02
7 HSC101 English Communication 02
8 MC211/212/ 213/214 NCC/NSS/PT& Games NC
Sl. No. Course Code Title of the Course Total Credits
1 MAT301 Abstract Algebra-II 04
2 MAT302 Probability 04
3 MAT303 Numerical Methods 03
4 MAT304 Numerical Methods Lab 01
5 CSC301 Computer Networks 03
6 CSC302 Computer Networks Lab 02
7 HSC301 Economics 03
8 MC311/312/ 313/314 NCC/NSS/PT& Games NC
Sl. No. Course Code Title of the Course Total Credits
1 MAT401 Analysis-I 04
2 MAT402 Discrete Mathematics 04
3 MAT403 Integral Calculus 04
4 MAT405 Statistics-I 04
5 CSC401 Design and Analysis of Algorithms 03
6 CSC402 Design and Analysis of Algorithms Lab 02
7 MC411/412/ 413/414 NCC/NSS/PT& Games NC
Sl. No. Course Code Title of the Course Total Credits
1 MAT501 Advanced Calculus 04
2 MAT502 Analysis-II 04
3 MAT503 Mathematical Modelling &Simulation 03
4 CSC501 Artificial Intelligence 03
5 CSC502 Artificial Intelligence Lab 02
6 Elective 03
7 Elective Lab 02
Sl. No. Course Code Title of the Course Total Credits
1 MAT601 Operations Research 04
2 MAT602 Complex Analysis 04
3 MAT603 Differential Equation-II 04
4 HSC601 Indian Society, Ethics  & Culture 03
5 CSC601 Theory of Computation 04
Sl. No. Course Code Title of the Course Total Credits
1 MAT701 Numerical Partial Differential Equation 03
2 MAT702 Numerical Partial Differential Equation Lab 01
3 MAT703 Number Theory 04
4 MAT704 Statistics-II 04
5 CSC701 Introduction to Data Sciences 03
6 CSC702 Introduction to Data Sciences Lab 02
7 CSC703 Neural Network 04
Sl. No. Course Code Title of the Course Total Credits
1 MAT801 Cyber Security 03
2 MAT802 Introduction to Integral Equations 04
3 MAT803 Project 12
Sl. No. Code Title Credits

 

1 HSC111 Environmental Science 2
2 HSC101 English Communication 2
3 HSC301 Economics 3
4 HSC601 Indian Society, Ethics  & Culture 3
Sl. No. Elective Course Sl. No. Elective Course Lab
Code Title Code Title
1 CSCE505 Computational Linguistics 1 CSCE506 Computational Linguistics Lab
2 CSCE507 Digital Image Processing 2 CSCE508 Digital Image Processing Lab
3 CSCE509 Machine Learning 3 CSCE510 Machine Learning Lab
4 CSCE513 Cloud Computing 4 CSCE514 Cloud Computing Lab
5 CSCE517 System Programming 5 CSCE518 System Programming Lab
6 CSCE519 Combinatorial Optimization 6 CSCE520 Combinatorial Optimization Lab
7 CSCE521 Data Mining 7 CSCE522 Data Mining Lab
8 CSCE523 Big Data Analytics 8 CSCE524 Big Data Analytics Lab
9 CSCE525 Soft Computing 9 CSCE526 Soft Computing Lab
10 CSCE529 Computer Security 10 CSCE530 Computer Security Lab
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