Title: M.Sc. Finance Highlights, Entrance Exam, Admission, and Career Opportunities
Are you considering pursuing a Master's in Finance? An M.Sc. Finance degree can equip you with the necessary skills and knowledge to succeed in the finance industry. In this article, we will cover everything you need to know about M.Sc. Finance, including its highlights, entrance exam, admission, eligibility, duration, selection criteria, application process, fee, syllabus, salary, and job opportunities.
Highlights of M.Sc. Finance Program
The M.Sc. Finance program is a postgraduate degree that focuses on developing students' financial skills and knowledge. The program covers various topics such as financial analysis, financial management, investment banking, portfolio management, risk management, and more. Students who complete the program can gain a comprehensive understanding of the financial industry and its workings.
Entrance Exam for M.Sc. Finance
To gain admission to an M.Sc. Finance program, most universities require candidates to take an entrance exam. The exam usually consists of multiple-choice questions that test the candidate's analytical and mathematical skills. Some universities may also require candidates to write an essay or attend an interview. Some of the popular entrance exams for M.Sc. Finance include the GMAT, GRE, and CAT.
Admission and Eligibility for M.Sc. Finance
The eligibility criteria for M.Sc. Finance may vary depending on the university. However, most universities require candidates to have a bachelor's degree in finance, accounting, economics, or a related field. Candidates must also have a minimum GPA or percentage in their undergraduate program. Additionally, candidates may be required to have work experience in the finance industry.
Duration of M.Sc. Finance Program
The duration of an M.Sc. Finance program is typically two years. However, some universities may offer the program as a one-year course.
Selection Criteria for M.Sc. Finance Program
The selection criteria for M.Sc. Finance program may vary depending on the university. However, most universities consider the candidate's academic record, entrance exam score, work experience, and interview performance while making the selection.
How to Apply for M.Sc. Finance Program
To apply for an M.Sc. Finance program, candidates must follow the application process specified by the university. Candidates can visit the university's website or contact the admission office to obtain the application form. The application form must be filled with accurate information and submitted before the deadline. Candidates may also be required to pay an application fee.
Syllabus for M.Sc. Finance Program
The syllabus for M.Sc. Finance program may vary depending on the university. However, the program typically covers topics such as financial accounting, financial management, corporate finance, investment management, financial markets, and institutions, financial statement analysis, and more.
Salary and Jobs after M.Sc. Finance
After completing an M.Sc. Finance program, graduates can expect to earn a competitive salary. The salary may vary depending on the industry, company, and location. Some of the popular job roles for M.Sc. Finance graduates include financial analyst, investment banker, portfolio manager, risk manager, financial planner, and more. The average salary for an M.Sc. Finance graduate in the United States is $82,000 per year.
Career Opportunities after M.Sc. Finance
An M.Sc. Finance degree can open up several career opportunities for graduates. Graduates can work in various sectors such as investment banking, asset management, corporate finance, financial consulting, and more. Moreover, the demand for finance professionals is expected to grow in the future, making it a lucrative career option.
An M.Sc. Finance degree can provide students with a comprehensive understanding of the finance industry and its workings. The program covers various topics such as financial analysis, financial management, investment banking, portfolio management, risk management, and more.
These are coordinated degree programs with no middle of the road B.Sc. degree. While these projects guarantee the required science part in any practically identical postgraduate science degrees of different colleges, they likewise fuse numerous courses which have been notionally viewed as the space of specialists. The incorporated idea of the projects and their explanatory and building science substance give them an additional expert character and furnishes understudies with the aptitudes and critical thinking capacities to take part helpfully in modern employments. While an able understudy with a 10+2 foundation might probably finish these projects in four years, understudies with a 10+2+3 foundation with a B.Sc. degree, conceded on cutting edge standing premise will expect a few years to complete the program. Most by far of understudies who are conceded for these degrees additionally aim and labor for a second degree from B.E. (Hons.), M.M.S., B.Pharm. degrees under the double degree plot.
Employment Types
NOTE:- Students who are admitted must bring all the original documents to with them to the Institute Campus. Students failing to present all relevant original documents upon request may be denied admission or later told to leave the university.
Given below are few of the important highlights of the program.
Program Full Name | Master of Science in Finance |
Program Level | Master Degree Courses |
Duration of the Program | 2 Years |
Examination Type | Semester |
Eligibility | B.Sc in Relevant Subject with 55% Marks (50% for SC/ST) from Recognized University |
Admission Process | Entrance Exam and Merit Based |
Average Program Fee | Rs. 1 Lakh - Rs. 2 Lakh |
Syllabus of Management as prescribed by various Universities and Colleges.
Paper Code | Subjects of Study |
1 | Multivariate Calculus and Mathematical Analysis |
2 | Vectors |
3 | Differentiation in several variables |
4 | Vector-valued functions |
5 | Maxima and minima in several variables |
6 | Multiple integration |
7 | Line integrals |
8 | Surface integrals |
9 | Fundamentals of Statistics |
10 | Modelling and Simulation |
11 | Differential Equations |
12 | First Order Differential Equations |
13 | Linear Second Order Differential Equations |
14 | Applications of Linear Second Order Differential Equations |
15 | Laplace Transforms |
16 | Systems of Linear Differential Equations |
17 | Introduction to PDE |
18 | Mathematical Methods in Finance |
19 | Numerical Techniques in Finance |
20 | Lattice Methods |
21 | The Binomial Tree |
22 | Review of Continuous Time Finance |
23 | Monte Carlo Methods |
24 | Numerical Solutions of Parabolic PDE's |
25 | Numerical and Combinatorial Optimization |
26 | Dynamic programming and allocating investments Mar |
27 | Kov chains and sequential decision making |
28 | Networks and graph theory |
29 | Linear programming and the simple method |
30 | The theory of games |
31 | Scheduling problems |
32 | Economic Analysis and Principals of Financial Management |
33 | Economic Analysis |
34 | Principals of Financial Management |
35 | Stochastic Calculus and Black-Scholes Theory |
36 | Stochastic Calculus |
37 | Black-Scholes Theory |
38 | C Programming/Mathematical soft wares |
39 | Algorithms |
40 | Mathematical Software |
41 | Discrete Time Modelling and Derivative Security |
42 | Discrete Time Modelling |
43 | Derivative Securities |
44 | Portfolio Theory and Asset Allocation |
45 | Financial Risk Management |
46 | Modelling of Bonds, Term Structure, and Interest Rate Derivatives |
47 | Bonds and Term Structure |
48 | Interest Rate Derivatives |
49 | Time Series Analysis |
50 | Mathematical Finance Dissertation/Project |
51 | Construction of martingale pricing measures by maximizing entropy |
52 | Continuous time limit of the binomial model |
53 | Estimating volatility using ARCH models |
54 | Optimal investments using utility functions |
55 | Real options |
56 | Mean-VaR portfolio theory |
57 | Liquidity risk by means of VaR |
58 | Valuation of companies using real options Coherent risk measures |
59 | Capital structure |
60 | Optimal portfolios in Heath-Jarrow-Morton model |
61 | Conditional Value at Risk |
62 | Applications of change of numeraire for option pricing |
63 | Copulas in finance |
64 | Single factor short rate models |
65 | Modelling credit risk – structural approach |
66 | Credit risk – reduced form approach |
67 | Credit risk – probabilities of default |
68 | Stochastic backward equations in finance |
69 | Computer simulations of interest rate models |
70 | Stochastic differential delay equations in finance |
71 | Methods of designing pension schemes |
72 | Fundamental theorem of asset pricing and its extensions |
73 | Implied volatility, volatility smile, stochastic volatility |
74 | Complete market models implied by call options |
75 | Monte Carlo valuation of American type derivative securities |
76 | Microscopic simulation of the stock market |
77 | Pricing weather derivatives by utility maximization |
78 | Arbitrage pricing of mortgage-backed securities |
79 | Computer implementation of finite-difference option pricing schemes |
Mentioned below are some states in India that offer the program.