Bachelor of Science [B.Sc] (Applied Mathematics)

B.Sc Applied Mathematics Latest Updates

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Course Structure:

The course structure is a combination of classroom teaching and practical classes. Each student is supposed to attend all the theoretical classes to understand the abstract concepts of mathematics and also the practical classes so that the student gets an understanding of the practical usage of all the abstract ideas.

Syllabus:

The major topics taught under this course include algebra, calculus, differential equations and differential geometry along with statistics and probability. All the courses taught in this program deal with the practical applications in other disciplines.

Name of the course

Topics Covered

Description

Calculus

Hyperbolic functions, Leibniz rule and its applications to problems of type eax+bsinx, eax+bcosx, (ax+b)n sinx, (ax+b)n cosx, Reduction formulae, Techniques of sketching conics, reflection properties of conics, rotation of axes and second degree equations, etc.

The main aim of this course is to make the students acquainted with the basic concepts of calculus and analytic geometry through theoretical teaching and practicals.

Algebra

Polar representation of complex numbers, nth roots of unity, De Moivre’s theorem for rational indices and its applications, Equivalence relations, Functions, Composition of functions, Systems of linear equations, Introduction to linear transformations, matrix of a linear transformation, etc.

This paper focuses on the concepts of algebra and complex numbers along with Graph theory and applications of linear algebra.

Real Analysis

Review of Algebraic and Order Properties of R, ߜ-neighborhood of a point in R, Idea of countable sets, uncountable sets and uncountability of R, Sequences, Bounded sequence, Convergent sequence, Limit of a sequence, Infinite series, convergence and divergence of infinite series, Cauchy Criterion, etc.

This paper deals with the concepts of real analysis.

Differential Equations

Differential equations and mathematical models, Introduction to compartmental model, exponential decay model, lake pollution model etc., General solution of homogeneous equation of second order, principle of super position for homogeneous equation, Equilibrium points, Interpretation of the phase plane, predatory-prey model and its analysis, etc.

The paper deals with the computing and modeling of differential equations and its practical approach using Maple and MATLAB.

Theory of Real Functions

Limits of functions (߳െߜ approach), sequential criterion for limits, divergence criteria, Differentiability of a function, Caratheodory’s theorem, Cauchy’s mean value theorem, Riemann integration, Riemann conditions of integrability, Improper integrals, Pointwise and uniform convergence of sequence of functions, Limit superior and Limit inferior. Power series, radius of convergence, etc.

This paper gives the elementary understanding of the real functions and their analysis.

Group Theory

Definition and examples of groups including permutation groups and quaternion groups (illustration through matrices), Properties of cyclic groups, classification of subgroups of cyclic groups, External direct product of a finite number of groups, Group homomorphisms, properties of homomorphisms, Cayley’s theorem, Characteristic subgroups, Commutator subgroup and its properties, etc.

This course deals with topics related to abstract algebra and theory of groups.

PDE and Systems of ODE

Partial Differential Equations – Basic concepts and definitions, Derivation of Heat equation, Wave equation and Laplace equation, Systems of linear differential equations, types of linear systems, differential operators, etc.

Through this paper the students are acquainted with the linear partial differential equations and differential equations in general.

Multivariate Calculus

Functions of several variables, limit and continuity of functions of two variables, Chain rule for one and two independent parameters, directional derivatives, Double integration over rectangular region, Triple integrals, Triple integral over a parallelepiped and solid regions volume by triple integrals, Line integrals, Applications of line integrals, Green’s theorem, surface integrals, integrals over parametrically defined surfaces, etc.

The focus of the paper is calculus and analytical geometry involving basic multivariable calculus, its concepts and contexts and also an understanding of advanced calculus.

Complex Analysis

Limits, Limits involving the point at infinity, continuity, Analytic functions, examples of analytic functions, exponential function, Logarithmic function, trigonometric function, An extension of Cauchy integral formula, consequences of Cauchy integral formula, Liouville’s theorem, Laurent series and its examples, absolute and uniform convergence of power series, uniqueness of series representations of power series etc.

The paper deals with the complex variables and its application and the theory of complex variables.

Rings and Linear Algebra

Definition and examples of rings, properties of rings, integral domains and fields, characteristic of a ring. Ideals, ideal generated by a subset of a ring, operations on ideals, prime and maximal ideals. Ring homomorphisms, properties of ring homomorphisms, polynomial rings over commutative rings, division algorithm, Eisenstein criterion. Vector spaces, subspaces, algebra of subspaces, quotient spaces, etc., Linear transformations, null space, range, rank and nullity of a linear transformation, etc., Dual spaces, dual basis, double dual, transpose of a linear transformation and its matrix in the dual basis, annihilators etc.

The paper is about the concepts of abstract algebra, linear algebra and its applications and geometric approaches.

Mechanics

Moment of a force about a point and an axis, couple and couple moment, Moment of a couple about a line, resultant of a force system etc., Laws of Coulomb friction, application to simple and complex surface contact friction problems, transmission of power through belts, screw jack, wedge, first moment of an area and the centroid, other centers, etc., Conservative force field, conservation for mechanical energy, work energy equation, kinetic energy and work kinetic energy expression based on center of mass, etc.

The course is of engineering mechanics and deals with its statistics and dynamics.

Numerical Methods and Programming

Algorithms, Convergence, Bisection method, False position method, Fixed point iteration method, Newton’s method, Secant method, LU decomposition, Gauss-Jacobi, Gauss-Siedel and SOR iterative methods. Lagrange and Newton interpolation: linear and higher order, finite difference operators. Numerical differentiation: forward difference, backward difference and central difference. Integration: trapezoidal rule, Simpson’s rule, Euler’s method.

The paper is about the numerical analysis and numerical methods for scientific and engineering computation.

Integral Equations and Calculus of Variation

Preliminary Concepts: Definition and classification of linear integral equations. Conversion of initial and boundary value problems into integral equations, Fredholm Integral Equations: Solution of integral equations with separable kernels, Eigen values and Eigen functions, Classical Fredholm Theory: Fredholm method of solution and Fredholm theorems, Volterra Integral Equations: Successive approximations, Neumann series and resolvent kernel. Equations with convolution type kernels. Solution of integral equations by transform methods: Singular integral equations, Hilberttransform, Cauchy type integral equations. Calculus of Variations: Basic concepts of the calculus of variations such as functionals, extremum, variations, function spaces, the brachistochrone problem, Necessary condition for an extremum, Euler`s equation with the cases of one variable and several variables, etc., General Variation: Functionals dependent on one or two functions, Derivation of basic formula, Variational problems with moving boundaries, etc.

The course deals with concepts of integral equations calculus of variations with applications to physics and engineering.

Laplace Transform

Laplace Transform: Laplace of some standard functions, etc,. Finite Laplace Transform: Definition and properties, Shifting and scaling theorem. Z-Transform: Z–transform and inverse Z-transform of elementary functions, etc., Hankel Transform, Hankel Transform, Fourier series, Fourier Transforms.

The topics covered are from advanced engineering mathematics.

Some of the Discipline Specific Electives are:

  • Number Theory
  • Graph Theory
  • Linear Programming
  • Control Theory
  • Approximation Theory
  • Combinatorial Optimization
  • Mathematical Modeling
  • Coding Theory
  • Wavelet Theory
  • Bio-Mathematics
  • Stochastic Processes
  • Difference Equations

There are also a few skill enhancement courses, and these are:

  • Bio-Mathematics
  • Stochastic Processes
  • Difference Equations
  • Bio-Mathematics
  • Stochastic Processes
  • Difference Equations

And the institutes also offer a few of the generic electives. These are:

  • Object Oriented Programming in C++
  • Finite Element Methods
  • Mathematical Finance
  • Econometrics
  • Digital Signal Processing
  • Neural Networks
  • Dynamical Systems
  • Industrial Mathematics
  • Statistical Techniques
  • Modeling and Simulation

Top Institutes:

The course is offered by only a handful of institutes in India. These institutes are:

Name of the Institute

City, State

Government Degree College

Jammu, Jammu and Kashmir

Guru Ghasidas Vishwavidyalaya

Bilaspur, Chhattisgarh

Mayur College

Kapurthala, Punjab

Bachelor of Science [B.Sc] (Applied Mathematics) : 33 answered questions

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Ques. Is mca is good option after bsc math to become software engineer or go for btech lateral entry mca in nit is good ?

● Top Answer By Vinima Bhola on 25 Jun 25

Ans. Here’s a clear analysis and comparison of your options for becoming a software engineer after BSc Math: Option Eligibility After BSc Math Focus Career Prospects Entry-Level Salary (INR) Duration (years) Key Advantage MCA Yes Software, IT, Apps Software Developer, IT, Data 6–15 LPA 2–3 Specialized IT skills BTech (Lateral Entry) Sometimes (depends) Engineering, CSE Software Engineer, Core Eng 4–12 LPA (CSE higher) 3 (lateral) Strong CS fundamentals If you have a BSc in math and wish to work as a software engineer, the MCA is usually the easiest and most efficient route. Additional benefits might be available if you can obtain a BTech lateral entry in computer science from a reputable institution, although this is less usual and more restrictive. Choose between specialised IT skills and a more general engineering background, taking into account your access to lateral entry alternatives.Read more
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Ques. Which is better, applied math at IIT Roorkee or CSE at any of the newer IITs like IIT Bhubaneswar or Jodhpur?

● Top Answer By Divya on 02 Jul 24

Ans. I am a second year student at IIT Roorkee. There are several reasons why choosing Applied Math at IITR over CSE at a newer IIT is a better option. IIT Roorkee has a strong national and international reputation as it is one of the oldest universities. Its alumni network is extensive and well-regarded. While IIT Bhubaneswar and IIT Jodhpur are rapidly growing and improving, they still don’t have the same recognition or reputation as IIT Roorkee. IIT Roorkee has a highly experienced and qualified faculty, particularly in the Mathematics Department. The exposure to high-quality teaching and mentorship can significantly enhance your academic experience. The Applied Mathematics program at IIT Roorkee offers strong theoretical foundations and practical applications, preparing you for diverse career paths. IIT Roorkee has a strong placement cell and a track record of excellent placement statistics across all departments. Companies value the IIT Roorkee brand, and students from Applied Mathematics often secure positions in top-tier companies, financial institutions, and reseorganizationstions. Based on all these factors, I suggest you choose Applied Math at IIT Roorkee over CSE at IIT BBSR/Jodhpur.Read more
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Ques. Which is better: IIT BHU electrical engineering, IIT Bhubaneswar CSE, IIT HYD mechanical engineering, or IIT Roorkee applied mathematics?

● Top Answer By Prerna on 28 Jun 24

Ans. I am a fourth year B.Tech CSE student at IIT Bhubaneswar. As per the NIRF Engineering Ranking 2023, IIT Bhubaneswar is placed 47th. Moreover, IIT Bhubaneswar recorded 100% placements in B.Tech CSE in 2023, and the average package stood at INR 25.18 LPA for this branch. The top recruiters at IIT Bhubaneswar for 2023 placements were- Accenture, Adobe, Amazon, Dell, Deloitte, HCL, Infosys, ISRO, among others. Here are the 2023 placement statistics for B.Tech CSE at IIT Bhubaneswar: Particulars Placement (2023) Average Salary INR 25.18 LPA Highest Salary INR 55.75 LPA Median Salary INR 20.31 LPA Lowest Salary INR 9 LPA % Batch placed 100 Other than performing well in placements, the students of B.Tech CSE at IIT Bhubaneswar get to be a part of various interesting clubs and societies. These are- The Robotics and Intelligent Systems Club (RISC), Web and Design Society (WebnD), and Neuromancers (The Programming Society).  These clubs and societies allow students to indulge in the fields of robotics, web development and programming by interacting with others and working on interesting projects.  Based on my personal experience, I can assure you that B.Tech CSE at IIT Bhubaneswar is a good choice. However, I can not comment on the other institutions/courses as I have not been a part of them.Read more
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Ques. What are the placements of integrated M.Sc in math and computing at BIT Mesra?

● Top Answer By Arun Biswas on 09 Aug 23

Ans. The branch was started in 2011 and still has a long way to go. The placement scenario however seems promising since the first batch itself received the highest offer of INR 10 LPA. Most of the seniors I know who belonged to this branch were dependent on off-campus placements and got placed in SAP Labs. The reason on-campus placements for Integrated MSc in Math and Computing at BIT Mesra are not very promising is that students for this program aren't selected via JEE Mains. Big companies like Goldman Sachs, Amazon, Walmart Labs, etc don't find these students credible enough to work in their companies. However, recently MnC has become the fastest-growing branch on campus right now with students receiving plentiful internship offers from foreign universities, IIT, and IIM. Ultimately I would like to comment that go for this branch only if you are genuinely interested in it and not as an escape route to one-year JEE preparation. Don’t go for it just because of placements you will end up being disappointed.Read more
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Ques. Is an integrated MSc in mathematics and computing in BIT Mesra a good option?

● Top Answer By Deepmoy Ganguly on 09 Aug 23

Ans. Maths and Computing is considered one of the best branches after CS in IITs today. The BIT tag is also quite popular among engineering aspirants so many enthusiasts of Math and CS  go for this branch to avail the opportunities this field offers. From what I have heard, the syllabus is at par with industry needs and the faculty pool is very passionate and approachable.  Mathematics is an indispensable part of Computer Science whether it’s research in data science or development. you need to be proficient in math. This course is designed to bridge the gap between the two which it purposely does, opening gates of innumerable opportunities.  To make the most of this branch, start concentrating on Core Mathematics and programming/DS/competitive programming right from the first year. Start working on a project by the end of the first year and go for an internship in the software domain. By the end of the 4th year, you will be proficient in most CS skills making it possible for you to sit for maximum placements. So, taking IMSC in Mathematics and Computing at BIT Mesra will be a good decision if you stop comparing your branch with others. The only drawback is that it is not a technical degree but that does not matter in the long run.Read more
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Ques. What should I opt for, mathematics and computing at IIT Dhanbad or computer science at IIT Palakkad?

● Top Answer By Aditi Roy on 15 Jul 23

Ans. Both institutes are relatively new and enjoy a similar status and brand value in the education world. IIT Palakkad is a new IIT while IIT Dhanbad although an old institution has recently been given the IIT title. So that leaves us with preference as the major factor in determining which institute is the right one for you. MNC is a blend of both Math and Computing concepts and is often very rigorous. The mathematical proofs and theorems form a major part of the curriculum and CS comprises just a minor portion of it. Unless you are a math lover or are genuinely interested in it, this branch might be very challenging for you as the concepts are very advanced and nothing like what you studied before. CSE on the other hand is an evergreen branch with broad prospects.  Moreover, the faculty of IIT Palakkad are from IITM also thus improving the quality of education offered. The infrastructure is excellent with great accommodation facilities.Read more
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Ques. How are the placements for Bachelor of Science [B.Sc] {Hons.} (Mathematics) at DIT University Dehradun?

● Top Answer By Harshit Arya on 29 Jan 23

Ans. The campus provides good placements for CSE students, as I am a BSc Student there are very less companies that offered roles to Bsc students. The college provides placements starting from the 6th semester, the companies that visit the campus are Deloitte, Adobe, TCS, Wipro, Infosys, Pal Alto, Techeon, etc. 80-85% of students got placed every year. I am planning for higher studies although.Read more
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Ques. How is the course curriculum of Bachelor of Science [B.Sc] {Hons.} (Mathematics) in DIT University Dehradun?

● Top Answer By Harshit Arya on 29 Jan 23

Ans. I have chosen BSc Honours Mathematics, as I have an interest in it, moreover, I asked my seniors about the college and they suggested I take admission. The student-faculty ratio is 30:1. Most of the faculty hold a Ph.D. degree, although some of them are less experienced. The college conducts two exams per semester, one is the mid-term and the other is the end term. The exams are quite easy to pass.Read more
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Ques. How are the placements for Bachelor of Science [B.Sc] (Mathematics) at St Xavier's Mumbai?

● Top Answer By Gladisa Rodrigues on 23 Apr 21

Ans. After graduation students are eligible for campus hu placement. There are many companies that have visited the college for placement. The highest package offered was a BMM student got a package of 30 lakhs.Read more
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Ques. How is the course curriculum of Bachelor of Science [B.Sc] (Mathematics) in St Xavier's Mumbai?

● Top Answer By Gladisa Rodrigues on 23 Apr 21

Ans. Maths has been one of my favourite subjects and I always y to my career in maths. In Xavier's College there are a total of 5 professor for maths who have done their MSc and have been working in this college for the past few years. Their teaching is very good. They use various methods for teachings like using PowerPoint presentation and blackboard to giving real-life example to make the concepts very clear for students. There are revision lectures conducted for students. Also before the exam there are doubt sessions in which a student can clear his/ her doubt. For a year college conduct 2 semester in which each semester has 3 exams for a course. There is two continuous internal assessment for twenty marks each and one last semester for sixty marks each. At the end of the semester, all the mks are added and the final score is revealed. The exams are a bit difficult to challenge students intellectual skills but students are trained for such exams that they don't find difficult or stressful.Read more
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Bachelor of Science [B.Sc] (Applied Mathematics) Colleges IN INDIA

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