Programme Details

MSc (Global Finance & Analytics)

  • Pune Lavasa Campus
  • Open From : 2023-05-15
  • Open Until : 2023-06-07
  • 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.

Big data analytics and digital technologies are influencing transformations in the finance sector, which are happening quickly. M.Sc. Global Finance Analytics program combines fundamental financial concepts with the cutting-edge analytical ideas required to succeed in the modern financial environment.

  • 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 05:00 PM, Saturday: 09:00 AM to 04:00 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 2023 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 5,000/- (Non-Refundable)

2. Programme fee as per the below table

Students from I Year II Year
Indian category 1,65,000 INR 1,65,000 INR
NRI category 2,50,000 INR 2,50,000 INR
SAARC/Africa category 4,000 USD 4,000 USD
Other Foreign Nationals 4,500 USD 4,500 USD
Time of Payment Within seven days of declaration of the Selection Process Result On or before March 15, 2023

# The fee for Maharashtra domicile students, as indicated in the table, is the actual fee payable and excludes the scholarship amount.
            
It is to be noted that though the fee is fixed for two years, there may be a periodic nominal increase to meet the rise in costs.
            
1. NRI fee is applicable for the first year for candidates who have studied foreign syllabus (has to be approved by UGC / AIU) in the qualifying examination of study in India. (The above condition is not applicable to NRI and candidates applied under NRI Category).            
(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;
                2.1. Have pursued and completed their last qualifying exam from outside India.
                2.2. Are NRI and candidates who have applied under the NRI category.

3. To claim the Indian / Maharashtra category fee, the candidates should have studied last 7 years in India / Maharashtra. (Not applicable for OCI, PIO and Foreign Nationals).

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

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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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