Programme Details

School of Commerce, Finance and Accountancy
Commerce
MSc (Global Finance & Analytics)

MSc (Global Finance & Analytics)

Pune Lavasa Campus
Open From : 16-Mar-2025
Open Until : 18-May-2025

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Course Details
International Student Category
NRI Student Category
Cancellation Policy
Admission Queries
Eligibility
Placement Opportunities
Syllabus
Fee Structure

Programme Objectives
Programme Outcomes
Programme Structure

To provide a deep understanding of finance concepts, theories and models
To provide training and skills in programming languages and apply the same in finance.
To develop knowledge and skills in analyzing data for decision making.
To provide training in the application of the concepts, techniques, methods and approaches of business analytics
To enhance critical and analytical skills.

PO1 - Interpret and apply highly desirable learnt skills and knowledge to real world financial situations, relevant today and in the future.
PO2 - Equip the students with excellent analytical, numerical and interpersonal skills - developing the financial expertise to the highest level.
PO3 -Exhibit forward thinking, predictive insights to shape the business practices of today and in the future.
PO4 -Demonstrate competency through big data techniques for risk management, product origination and trading decision making.
PO5 - Apply advanced knowledge of research and simulation exercises to conduct independent research investigations and formulate solutions to complex problems by appropriate tools.

The MSc. Global Finance and Analytics programme is spread over four semesters comprising majorly of core courses in Commerce embedded with Analytical Courses like Data Analytics, Machine Learning, Data Visualization, R programming and Python for Finance. The course offers discipline-specific mandatory courses, including Predictive Analytics, Econometrics and Financial Modelling geared towards the analysis of financial data. Other unique offerings of the programme include inter-disciplinary open electives, projects, internships and skill enhancement programmes certified by Grant Thornton, Moody’s Analytics. Capstone projects and sixty-day long internships are in line with the course to give a first-hand experience of the business world to the students.

| Overview
Embark on a transformative learning journey with our MSc Global Finance and Analytics program, meticulously designed for forward-thinking professionals eager to deepen their understanding of international finance and analytics. Delve into the intricate world of global finance, exploring diverse markets, regulatory frameworks, and emerging trends. Our emphasis on hands-on learning sets us apart, ensuring you acquire practical skills in programming and data visualization.
What makes this program truly unique are the opportunities for practical application. Engage in impactful capstone projects, providing a real-world context to apply your knowledge. Immerse yourself in internships that offer hands-on experience and a chance to connect with industry professionals. Our commitment to industry collaboration in teaching and learning ensures that you receive insights directly from practitioners, enriching your understanding of the field.
This program's global perspective empowers you to navigate diverse financial landscapes, offering a competitive edge in today's dynamic business environment. From risk assessment to market forecasting, master tools such as R, Python, and Power BI, and explore the transformative capabilities of predictive analysis and machine learning. Join us to gain a comprehensive skill set that seamlessly integrates global finance and cutting-edge analytics, propelling you toward a successful career in the ever-evolving financial landscape. Enrich your academic journey with real-world experiences, industry connections, and a holistic learning approach.

| Why choose this Course?

Integration of Finance-Analytics
Practical Learning: Projects & Internships
Industry-standard Tools
Global Market Focus
Exposure to Research Methodologies
Data Analysis Skills

| What will you learn?

Understanding of Global Financial Markets
Advanced Investment Analysis
AI and Machine Learning Applications
Financial Reporting Mastery
Analytics-driven Finance

| Modules

YEAR 1

Marketing Management
Global Financial Market
Financial Reporting
Statistics for Financial Analytics
Operations Research
Descriptive, Predictive & Prescriptive Analytics
Statistical Programming
Bloomberg Essentials
Human Resource Management
Accounting Analytics
Applied Equity Research And Portfolio Management
Research Methodology
Data analytics and Machine Learning for Finance
Predictive Financial Modeling
International Financial Management

YEAR 2

Behavioral Finance
Corporate Risk Management
Actuarial Science
Global Derivative Market
Time Series Analysis
Research Project
Financial Econometrics
Financial Intelligence and Data Visualisation
Business Intelligence
Corporate Governance & Ethics
Big data Analytics
Ethical and Legal Aspects of Analytics
International Business & Geopolitics
Capstone Project

| Career prospects

Investment Banker
Portfolio Manager
Venture Capitalist
Equity Research Analyst
Foreign Exchange (FOREX) Trader
Corporate Treasurer
International Financial Analyst

Programme Objectives
Programme Outcomes
Programme Structure

To provide a deep understanding of finance concepts, theories and models
To provide training and skills in programming languages and apply the same in finance.
To develop knowledge and skills in analyzing data for decision making.
To provide training in the application of the concepts, techniques, methods and approaches of business analytics
To enhance critical and analytical skills.

Candidates falling under any of the below mentioned categories must apply under the International Student Category:

Foreign citizens,
PIO card holders and
OCI (Dual Citizens)

International students coming from Non-English speaking countries should:

Produce evidence of passing the qualifying examination in English medium or
Have IELTS 6.0 with no sub-score below 5.5 or TOEFL (paper) 550, TOEFL (computer) of 213 or TOEFL (IBT) of 79 scores

Candidates without the above pre-qualifications will have to enroll either for

Intensive Certificate course in English Language (Full Time) conducted from March to May each year or
One Semester Certificate course in English Language (Part Time) conducted after regular class hours from June to December.

Note: The International Student category fee structure is binding for the full duration of the programme and cannot be transferred /changed in between.

Candidates from the above listed categories having pursued Indian Educational qualification and who may have applied under the Indian States Category will have to pay the International Student Category Fee. The decision of the Admission committee is final.

Candidates seeking admission through International Student category (Foreign Nationals/PIO/OCI) will have a separate application process, with the following options to apply for any programme at Christ University.

Direct mode Application
Online Application form

Email ID for any clarifications: isc.admission@christuniversity.in

For other details: https://christuniversity.in/international-student-category

Programme Objectives
Programme Outcomes
Programme Structure

To provide a deep understanding of finance concepts, theories and models
To provide training and skills in programming languages and apply the same in finance.
To develop knowledge and skills in analyzing data for decision making.
To provide training in the application of the concepts, techniques, methods and approaches of business analytics
To enhance critical and analytical skills.

Students who fall under any of the following classifications, at the time of application may apply under NRI Student category and be liable to pay the fees applicable to the category for the entire duration of the course.

NRI defined under the Indian Income Tax Law
Either of the parents is outside India (except Nepal) on Work Permit / Resident Permit.
Indian citizen financed by any Institution / agency outside India, even if parents are Residents of India.
Indian Citizen who has pursued studies for qualifying examination in any foreign / Indian syllabus outside India.
Indian citizen pursued studies for qualifying examination in foreign syllabi in India.

Note: If only condition 5 is satisfied, and not conditions 1 to 4 above,NRI student category fee will be applicable only for the first year.

Email ID for any clarifications: isc.admission@christuniversity.in

For other details: https://christuniversity.in/international-student-category

Programme Objectives
Programme Outcomes
Programme Structure

To provide a deep understanding of finance concepts, theories and models
To provide training and skills in programming languages and apply the same in finance.
To develop knowledge and skills in analyzing data for decision making.
To provide training in the application of the concepts, techniques, methods and approaches of business analytics
To enhance critical and analytical skills.

Programme Objectives
Programme Outcomes
Programme Structure

To provide a deep understanding of finance concepts, theories and models
To provide training and skills in programming languages and apply the same in finance.
To develop knowledge and skills in analyzing data for decision making.
To provide training in the application of the concepts, techniques, methods and approaches of business analytics
To enhance critical and analytical skills.

For any queries at any given time during the application and admission process, you may contact us through the following Email ID’s:

Pune Lavasa Campus

CHRIST (Deemed to be University),

Christ University Road, 30 Valor Court,

PO Dasve Lavasa, Mulshi, Pune - 412112, Maharashtra

1800-123-2009
admission.lavasa@christuniversity.in

Between: Monday to Friday: 09:00 AM to 04:30 PM, Saturday: 09:00 AM to 01:30 PM
(Office remains closed on Sundays, government holidays and any special events)

Programme Objectives
Programme Outcomes
Programme Structure

To provide a deep understanding of finance concepts, theories and models
To provide training and skills in programming languages and apply the same in finance.
To develop knowledge and skills in analyzing data for decision making.
To provide training in the application of the concepts, techniques, methods and approaches of business analytics
To enhance critical and analytical skills.

Candidates must have completed a three-year Bachelor’s degree from a recognized university with a minimum aggregate score of 50%.
Candidates appearing for their final year examinations in March-May 2025 are also eligible to apply.
Mandatory bridge courses in Mathematics and Finance will be offered for candidates from non-finance academic background.

Programme Objectives
Programme Outcomes
Programme Structure

To provide a deep understanding of finance concepts, theories and models
To provide training and skills in programming languages and apply the same in finance.
To develop knowledge and skills in analyzing data for decision making.
To provide training in the application of the concepts, techniques, methods and approaches of business analytics
To enhance critical and analytical skills.

M.Sc. in Global Finance and Analytics programme opens a gateway to excellent career opportunities in a wide array of financial institutions including investment banks, portfolio management, venture capital, equity research, FOREX markets, commodity markets and other emerging areas in the realm of finance. The programme is designed to address the accelerating need of corporate bodies, MNCs, Investment Banks, Capital Market Institutions, NBFCs and international organizations for qualified professionals in the field of Global Finance and Analytics. There is immense scope for this programme as the corporate industry marches towards analytics backed by technological advancements.

Programme Objectives
Programme Outcomes
Programme Structure

To provide a deep understanding of finance concepts, theories and models
To provide training and skills in programming languages and apply the same in finance.
To develop knowledge and skills in analyzing data for decision making.
To provide training in the application of the concepts, techniques, methods and approaches of business analytics
To enhance critical and analytical skills.

Programme Objectives
Programme Outcomes
Programme Structure

To provide a deep understanding of finance concepts, theories and models
To provide training and skills in programming languages and apply the same in finance.
To develop knowledge and skills in analyzing data for decision making.
To provide training in the application of the concepts, techniques, methods and approaches of business analytics
To enhance critical and analytical skills.

1. Admission Registration fee of INR 8,000/- (Non-Refundable)

2. Programme fee as per the below table

Year	Other Indian States	NRI	##SAARC / AFRICA / PIO / OCI / ASEAN	##Other Foreign Nationals	Time of Payment
1	1,74,000 INR	2,74,000 INR	4,000 USD	4,500 USD	Within seven days of the declaration of the Selection Process Result
2	1,74,000 INR	2,74,000 INR	4,000 USD	4,500 USD	On or before March 31, 2026

It is to be noted that though the fee is fixed for all years, there will be a periodic nominal increase to meet the rise in costs.

1. Indian nationals pursuing international curriculum in India, will pay the fee applicable for NRI status for the first year. Indian citizens who have studied foreign syllabi in India for the qualifying examination (applying for UG / PG / MPhil / PhD Programme has to be approved by UGC / AIU).

(The above condition is not applicable to NRI and candidates applied under NRI Category).

2. NRI fee is applicable for the full duration of the programme for candidates who;

Have pursued and completed their last qualifying exam from outside India.
Are NRI and candidates who have applied under the NRI category.

3. To claim Indian category fee, the candidates should have studied last 7 years in India. (Not applicable for OCI, PIO, and Foreign Nationals).
4. Admission registration fee of INR 8000/- is non-refundable in the event of cancellation of admission. This fee will be apart from cancellation charges if any applicable.

5. All Candidates If “Selected” after appearing for the final selection process, The fee may be paid through the following option:

Payment can be made through Net banking / NEFT / RTGS / Online payment portal

CHRIST

(Deemed to be University)

Christ University Road, 30 Valor Court
At Post: Dasve Lavasa,Taluka: Mulshi
Pune 412112, Maharashtra.

Tel: 1800-123-2009

Email: mail.lavasa@christuniversity.in

Web: http://www.lavasa.christuniversity.in

Vision

EXCELLENCE AND SERVICE

Mission

CHRIST (Deemed to be University) is a nurturing ground for an individual's holistic development to make effective contribution to the society in a dynamic environment.