Programme Details

MSc (Global Finance & Analytics)

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

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

 

  • 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.

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

  • 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.

  • 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.

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)

  • 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.

  • 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.
  • 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.

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.

  • 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.

  • 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.

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.

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