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Home > Academics > Programs > Bsc-applied-mathematical-computing >

B.Sc.(Applied Mathematical Computing)


Merit List of B.Sc. Applied Mathematical Computing will be declared on Monday, 8th August after 5 PM.

Mathematics and its applications are quickly becoming indispensable in our modern technological world. Advancement in fields of applications has prompted the use of computational techniques unique to particular entities. The discipline of Applied Mathematics, using computational approaches responds to the demands of conceptual analysis, principles, and problem solving for a new world filled with more advanced tools of computing and technology.

In the Applied Mathematical Computing programme, students are trained in one, exploring problems using symbolic, graphical, numerical, physical, and verbal techniques. Two, engage in precise mathematical thinking and modelling to examine and solve problems. And finally, data analysis with the help of algorithms from machine and deep learning. Students can use these skills in the context of finite or discrete real-world situations in disciplines including, but not limited to, economics, medicine, agriculture, marine science, law, transportation, engineering, banking, natural sciences, social sciences, and computing.

The main emphasis of this programme is on developing the ability of the students to start with a problem in non-mathematical form and transform it into mathematical language. This will enable them to bring mathematical insights and skills in devising a solution, and then interpreting this solution in real-world terms.  The technological skills that students develop would prove vital to them, as they present and analyze data for a research component. The Bachelor of science in Applied Mathematical Computing at NMIMS concentrates on areas where Mathematical Sciences, Computing and Finance are most relevant, emphasizing the bridges between theory and applications. It offers opportunities to develop a deeper understanding of the mathematical foundations of the subject and its applications, positioning students to be highly competitive for job opportunities including analyzing and managing corporate data in different formats, as well as in academic teaching and research.

 

DURATION

B.Sc. (Applied Mathematical Computing) is a three year programme. It covers diverse areas like Financial Mathematics, Mathematical Biology, Machine Learning and Deep learning.

 

INTAKE

A total of 60 seats are available for the B.Sc. (Applied Mathematical Computing) programme.

ELIGIBILITY CRITERIA

The Candidate must have passed 10 + 2 or equivalent examination from recognized board with Mathematics/ Mathematics & Statistics as compulsory subject with a minimum of 50% aggregate marks in any stream (Science/Commerce/Arts with Mathematics/Mathematics & Statistics).

 

ADMISSION CRITERIA

Merit list will be based on performance of the candidate in Mathematics/ Mathematics & Statistics marks obtained in 10+2 or Equivalent examination.

BOARD OF STUDIES

Board of Studies for Applied Computational Mathematics

  • M. N. Welling: Advisor to the President-SVKM & to Chancellor, SVKMS
  • Selby Jose: Professor and Head, Department of Mathematics, Institute of Science, Mumbai
  • Siby Abraham: Professor, Centre of Excellence in Analytics and Data Science, NMIMS
  • Ajit Kumar: Professor and Head, Department of Mathematics, Institute of Chemical Technology, Mumbai
  • Ananthnarayan Hariharan: Associate Professor, Department of Mathematics, IIT Powai, Mumbai
  • Amiya Ranjan Bhowmick: Assistant Professor, Department of Mathematics, Institute of Chemical Technology, Mumbai
  • Chandraima Sikdar: Professor & Associate Dean, School of Business Management, NMIMS

 

VALUE PROPOSITION

  • The programme is designed by academicians and industry experts.
  • This programme gives excellent training in many different areas of Applied Mathematics. Student will be equipped with a range of mathematical skills in problem-solving, coding, project work and presentation.
  • Open-source software’s like R, Python, Julia Programing, math lab, sage math etc. are used to solve practical problems, case studies and projects.
  • Extensive course work in line with the requirements of industry, thus adding value to the degree.
  • A system of continuous assessment through seminars, quizzes, and practical assignments.
  • Guest faculty drawn from a pool of experts from industry/academia, thereby, ensuring a balanced and continuous interaction with the industry.

 

PROGRAMME LEARNING OBJECTIVES

  • Students will learn the fundamental principles underlying the major areas of mathematics.
  • Students will develop a broad appreciation for mathematics both as a discipline and as a tool for solving real world problems.
  • Students will be able to write and critique mathematical proofs.
  • Students will be prepared to use mathematics and related technology in their careers or their graduate study.
  • Focus on blending theory with practical and industry application to enhance understanding and learning.
  • Focus on the overall development of the students to help gain knowledge and skillsets required for further studies as well as for an edge in employability after completion of the course.

 

PROGRAMME LEARNING OUTCOMES

  • Students can analyze problems and formulate appropriate mathematical models in a variety of areas of mathematics.
  • Students are able to select and utilize appropriate mathematical technology, enabling them to analyze mathematical problems in a wide variety of areas.
  • Students are able to make rigorous mathematical arguments including how to both prove and disprove conjectures.
  • The skills and knowledge gained has an intrinsic beauty, leading to proficiency in analytical reasoning. This can be utilized in modelling and solving real life problems.
  • With the acquired skillsets, students are able to use different algorithms of machine learning in projects.
  • This programme would enhance students’ employability for jobs in not only academia but also banking, insurance and investment sectors, data analysis, as well as in various other public and private enterprises.

 

PEDAGOGY

The syllabus of Applied Mathematical Computing consists primarily of different modules, namely, Core Courses, Inter-disciplinary courses, and Ability Enhancement. Core Courses are from Mathematics, Statistics and Computing. Inter-disciplinary courses are from Economics, Commerce and Finance. Ability Enhancement courses are from Corporate Communication, Environment Studies, Research methodology etc.  The programme comprises of lectures, practicals, case studies, presentations, and projects.

The programme is designed in consultation with our Board of Studies, which comprises of experts from academia, research institutions and industry. Programme is tailor made to fulfil the requirements needed to keep pace with the current & future developments in industry.

While the students will not only have ample opportunities to acquire hands-on training on modern softwares, but also benefit from the expertise of world renowned leaders in the field.


Program Structure


           
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