• GT Bharat & Learning & Development Academy

Master of Science(M.Sc) - (Finance and Analytics)

Master of Science(M.Sc) - (Finance and Analytics):

A program by Grant Thornton and Christ University

The program aims to train and skill the aspirants who are desirous of becoming experts in finance & data analytics and leverage the high demand for professionals in the leading industries such as the big fives, financial institutions, multinational banks, insurance companies, mutual fund companies, finance and leasing companies, stockbroking firms, investment firms, banks etc.

This program is outcome of Christ University & Grant Thornton collaboration, where Grant Thornton is Knowledge Partner.

Program Outcomes

After attending program, student will be able to

  • Develop a deep understanding of finance concepts and analytical tools and techniques
  • Apply the concepts, techniques, methods and approaches of business analytics using real time data
  • Analyze and interpret the results of real world financial and data related issues
  • Build models for effective and strong decision making
  • Examine the implications of ethical and legal decision processes

Key Expertise offered:

  • Simulations
  • Financial Models
  • Predictive and Financial Analytics
  • Data Visualization
  • Applied Data Analytics and Machine Learning
  • Big Data Analytics

Program Highlights:

  • Next Generation Finance
  • Applied Analytics
  • Exclusive Teaching Hours both Online and Offline
  • Grant Thornton Certificate of Completion
  • Other Emerging Technologies
  • Mentoring with industry experts
  • Case studies and Project Work
  • Access to session recordings via GT LMS
  • Hadoop, R, Python, Tableau, Power BI
  • 4 months Live Projects

Evaluation:

Following the Academic Calendar and examination pattern of the university, Grant Thornton would be conducting an examination on Semester basis.

Internship:

Top 10 deserving students would be provided assured internship at Grant Thornton. This would be based on the overall performance of the students in exams, projects and sessions.

Placement:

Deserving participants would get interviewed by Grant Thornton in India for suitable roles and placement assistance would be provided to all students

Assessments

Internal assessment - (Seventy percent) Assessed through:

  • Real time project
  • Case discussion and presentation
  • Assignments
  • Quizzes
  • Mid semester examinations

External assessment - (Thirty percent) Assessed through:

  • End Semester examinations

Eligibility

Graduate with 60% in any discipline (non-finance students will undergo with mathematics and finance bridge courses)

Programme Structure

  1. Semester 1
    • Financial and Management Accounting
    • Advanced Corporate Finance
    • Mathematics and Statistics
    • Applied Data Analytics and Machine learnings
    • Financial Markets and Institutions
    • Marketing Management
    • Human Resource Management
    • Operations Management
    • Holistic Education Development
    • Simulations in Computational Finance –
    • Mandatory Simulation Certification-1
  2. Semester 2
    • Big Data Analytics
    • Predictive analytics
    • Applied Equity Research and Portfolio
    • Management
    • International Financial Management
    • Financial Modelling and Business Valuation
    • Holistic Education Development
    • Simulations in Computational Finance­
    • Mandatory Simulation Certification-2
  3. Semester 3
    • Stochastic Finance
    • Prescriptive Analytics
    • Financial Analytics
    • Strategic Management and Business
    • Transformations
    • Applied Derivatives and Risk Management
    • Fixed Income Securities and Treasury
    • Management
    • Marketing Analytics
    • HR Analytics
    • Operations and Supply Chain Analytics
    • Internship
  4. Semester 4
    • Ethical and Legal Aspects of Analytics
    • Cyber and Data Security
    • Live Project (4 months long)

Cancellation and refund policy

The refund policy in case of withdrawal of nomination would work as follows:-

  • A refund of 50% of the fee would be provided for cancellation requests received up to five working days before the training start date
  • Participants who cancel in less than five working days, or there is no show on the training date are  liable to pay the full course fee and would not be entitled to refunds.

Cancellations must be made via emails only. However desirous participants can be accommodated in the future batches of program, without paying anything extra. It is requested that willingness to attend any future program should be communicated at the earliest convenience.