Pune Lavasa Campus

Master of Science (Global Finance and Analytics) (One
Year PG)

Open from: 2026-10-15 13:00:00 | Open until: 2026-12-06 23:45:00

Fully Residential 2 Semester Programme Dedicated Capstone Industrial Internship / Project Global Exposure Placement Training & Support Advanced Financial Analytics & Data Skills
2
Semester
1 Yrs
Duration
Top 50
B-School India
Applications OpenUntil 2026-12-06 23:45:00
2020
In accordance with NEP
23
Industry Partners
2
Semesters
1
Dedicated Capstone Internship
Programme Overview

About the Programme

The One Year MSc in Global Finance & Analytics is an advanced, tech-driven post-graduate program specifically designed for students who have completed a 4-year Undergraduate Degree (BCom / BBA / BS Honours or Honours with Research).

In alignment with the UGC NEP 2020 Framework (NHEQF Level 7), this intensive 2-semester track offers direct entry into advanced quantitative finance, financial data architecture, risk analytics, and financial technology (FinTech). Students learn alongside senior PG scholars, tackling real-world datasets, live market feeds, and algorithmic financial models.

Why at Pune Lavasa Campus

Why Choose This Programme?

Accelerated NEP-Compliant Pathway
Designed specifically for 4-year UG graduates under the UGC NEP 2020 framework, allowing you to earn a full Master’s degree (NHEQF Level 7) in just one year without compromising on academic depth or industry rigor.

Shared Cohort & Peer Learning
Learn in the exact same classroom alongside senior 2-year PG scholars, fostering high-level collaborative problem-solving, expanded peer networks, and rich academic discussions.

Advanced Financial Tech & SQL Integration
Master industry-essential tools including SQL for financial databases, PySpark for big data, machine learning models, Power BI/Tableau, and algorithmic trading platforms directly applicable to modern finance roles.

Industry-Driven & Exemption-Aligned Curriculum
Study courses carefully mapped to eliminate undergraduate topic overlaps and benchmarked against professional standards in quantitative risk, credit scoring, derivatives structuring, and financial AI governance.

Dedicated Industry Capstone Internship
Gain immersive real-world experience through an intensive 8-credit corporate internship project or master dissertation that bridges theoretical analytics with practical corporate execution.

End-to-End Placement & Career Support
Benefit from dedicated placement training, career mentorship, and access to 23+ corporate industry partners recruiting for high-demand roles like Risk Analyst, Quantitative Strategist, and FinTech Specialist.

Areas of Specialisation

Choose Your Track

The One-Year MSc in Global Finance & Analytics offers specialized career tracks designed to align your quantitative capabilities with distinct high-demand sectors in the global financial ecosystem. Select the track that best matches your professional ambitions

Financial Technology & Algorithmic Trading

Focuses on the technology driving modern financial markets, including automated trading strategies, market microstructure, distributed computing, and artificial intelligence applications in financial decision-making.

Quantitative Risk & Credit Analytics

Concentrates on mathematical modeling, risk management frameworks, Basel III/IV regulatory compliance, credit scoring algorithms, and corporate governance for banking and financial institutions.

Financial Data Intelligence & Portfolio Analytics

Emphasizes financial database architecture, SQL querying, predictive financial modeling, data visualization, and advanced portfolio construction for equity research and asset management.

Learning Outcomes

What You Will Learn

Relational Databases & Financial SQL Analytics
Algorithmic Trading & Market Microstructure
Quantitative Risk Modeling & Basel Frameworks
Big Data Engineering & Applied AI in Finance
Advanced Derivatives Structuring & Exotics
Interactive Financial Intelligence & Dashboards
AI Ethics, Governance & Financial Regulations
Academic Curriculum

Programme Structure

The programme structure outlines the academic curriculum designed to provide a systematic progression of learning through core subjects, electives, and practical components across semesters, ensuring both theoretical understanding and skill development.

Semester 1 — Financial Analytics, Risk & Markets
COREAdvanced Financial Databases & SQL Analytics 3 Credits
COREBehavioral Asset Pricing & Market Microstructure 3 Credits
COREAdvanced Corporate Risk Analytics & Derivatives Structuring 4 Credits
COREQuantitative Credit Risk & Basel Regulatory Modeling 4 Credits
AECCorporate Governance, AI Ethics & Financial Regulations3 Credits
SECAdvanced Financial Data Intelligence & Visualization3 Credits
DSEFinancial Econometrics / International Taxation2 Credits
CORECapstone Research Project 1 Credits
CORECore  |  ELECElective  |  SPEC Specialisation  |  AEC Ability Enhancement Course  |  SEC Skill Enhancement Course  |  DSE Discipline Specific Elective  |  VAC Value Added Course  |  MDCMultidisciplinary Course
Semester 2 — Quantitative Finance, AI & Applied Research
COREAlgorithmic Trading & High-Frequency Analytics4 Credits
COREBig Data Engineering & Applied AI in Finance4 Credits
COREInternational Financial Management & Geopolitics3 Credits
AECEthical, Legal Aspects & AI Governance in Analytics2 Credits
CORECorporate Internship Project / Master Dissertation8 Credits
Download Brochure
Admissions

Eligibility & Fee Structure

Eligibility Criteria
Fee Structure (Indicative)
After Graduation

Career Paths

Quantitative Risk Analyst
Algorithmic Trading Strategist
Derivatives & Financial Engineer
Quantitative Research Associate
Credit Risk Modeling Specialist
Model Risk & AI Governance Analyst
Financial Data Engineer / SQL Developer
Big Data & Financial AI Specialist
FinTech Product Specialist
Business Intelligence (BI) Financial Analyst
Equity Research & Portfolio Analytics Specialist
Corporate Valuation & Financial Analytics Associate
Personalised Path

Your Career Roadmap

Select a specialisation track to explore the learning journey and career outcomes tailored to your chosen domain.

S1-S2
FInancial Technology & Algorithmic Trading

Semester 1: Students take Advanced Financial Databases & SQL Analytics as a Core course, Behavioral Asset Pricing & Market Microstructure as a Core course, and Advanced Financial Data Intelligence & Visualization as an SEC course. They also complete Capstone Research Project Phase I as a Project course.

Semester 2: Students take Algorithmic Trading & High-Frequency Analytics and Big Data Engineering & Applied AI in Finance as Core courses, and Ethical, Legal Aspects & AI Governance in Analytics as an AEC course. They complete the Corporate Internship Project or Master Dissertation, which carries 8 credits.

Build expertise in financial databases, market analysis, data visualization, algorithmic trading, high-frequency analytics, AI-driven finance, and responsible analytics through a research project and industry internship or dissertation.
Financial Technology & Algorithmic Trading Track — Career Outcomes
Algorithmic Trading Strategist FinTech Quantitative Analyst (Quant) Financial Data Engineer / API Architect High-Frequency Trading (HFT) Data Analyst FinTech Product Manager / Product Specialist
Average Starting Package: ₹ 8.5 - 14 LPA
S1-S2
Quantitative Risk & Credit Analytics

Semester 1: Students take Advanced Corporate Risk Analytics & Derivatives Structuring and Quantitative Credit Risk & Basel Regulatory Modeling as Core courses. They also take Corporate Governance, AI Ethics & Financial Regulations as an AEC course and complete Capstone Research Project Phase I as a Project course.

Semester 2: Students take International Financial Management & Geopolitics and Big Data Engineering & Applied AI in Finance as Core courses, and Ethical, Legal Aspects & AI Governance in Analytics as an AEC course. They complete the Corporate Internship Project or Master Dissertation, which carries 8 credits.

Develop advanced skills in corporate and credit risk, Basel regulations, financial governance, international finance, AI applications, and ethical analytics through research and practical industry experience.
Quantitative Risk & Credit Analytics Track — Career Outcomes
Quantitative Risk Analyst Credit Risk Modeling Specialist (PD / LGD / EAD) Basel Regulatory Compliance & Model Risk Analyst Market & Operational Risk Associate Financial Risk Management (FRM) Consultant
Average Starting Package: ₹ 7.5 - 12 LPA
S1-S2
Financial Data Intelligence & Portfolio Analytics

Semester 1: Students take Advanced Financial Databases & SQL Analytics as a Core course, Advanced Financial Data Intelligence & Visualization as an SEC course, and Behavioral Asset Pricing & Market Microstructure as a Core course. They also choose Financial Econometrics or International Taxation as the DSE elective.

Semester 2: Students take International Financial Management & Geopolitics and Big Data Engineering & Applied AI in Finance as Core courses, and Ethical, Legal Aspects & AI Governance in Analytics as an AEC course. They complete the Corporate Internship Project or Master Dissertation, which carries 8 credits.

Gain practical knowledge of financial databases, business intelligence, market analysis, econometrics or taxation, portfolio analytics, AI in finance, and responsible data practices through an internship or dissertation.
Financial Data Intelligence & Portfolio Analytics Track — Career Outcomes
Financial Data Engineer Business Intelligence (BI) Analyst Equity Research Analyst Portfolio Analytics Associate Corporate Finance Analyst
Average Starting Package: ₹ 7 - 11.5 LPA
From the Department

Message from the HOD

HOD Name
Dr Manjari Sharma
Commerce
Pune Lavasa Campus

Welcome to the Department of Commerce at CHRIST (Deemed to be University), Pune Lavasa Campus.

At the heart of our academic philosophy lies a student-centric approach. We believe in whole-person development, nurturing not just academic excellence but also personal growth, leadership, and global citizenship.

Our students are exposed to a range of experiential learning opportunities that go beyond the classroom. From internships that offer hands-on corporate exposure, to industrial visits that bring real-world business dynamics into focus, we ensure our students are industry-ready and future-focused.

Read more...

Commerce, Pune Lavasa Campus
×

Message from the HOD

Welcome to the Department of Commerce at CHRIST (Deemed to be University), Pune Lavasa Campus.

At the heart of our academic philosophy lies a student-centric approach. We believe in whole-person development, nurturing not just academic excellence but also personal growth, leadership, and global citizenship.

Our students are exposed to a range of experiential learning opportunities that go beyond the classroom. From internships that offer hands-on corporate exposure, to industrial visits that bring real-world business dynamics into focus, we ensure our students are industry-ready and future-focused.

We take pride in the fact that all our departmental activities are student-led—whether it's academic events, community outreach, entrepreneurship fairs, or cultural programs. Students are encouraged to take leadership roles, work in collaborative teams, and actively participate in decision-making processes that shape their learning journey.

To help students master essential 21st-century skills, we emphasize critical thinking, problem-solving, effective communication, and the development of a positive, growth-oriented attitude.

Our programs are enriched with industry-driven certification courses, international collaborations, and exchange opportunities—including short-term immersion programs and semester exchange with leading universities across the globe. These engagements help broaden students’ perspectives and prepare them for a global career.

We also strongly advocate for financial literacy for all, embedding financial awareness and practical skills in our curriculum to create informed and empowered individuals.

With a rich ecosystem of opportunities, the Department of Commerce ensures every student has the platform to discover their strengths, develop their potential, and thrive in a rapidly evolving world.

We look forward to welcoming you to our vibrant academic community.

How to Join

Admission Process

1
Register
  • Register with your Email ID
  • Login to the Admission Portal
2
Apply Online
  • Fill the Application Form
  • Pay Application Fee
3
Entrance Test
  • Entrance Test (If Applicable)
  • Assessment
  • Interview
4
Result
  • Check login page for result
  • If selected, Offer Letter attached
5
Fee Payment
  • Pay Course Fee Online
  • Complete Admission Process
Ready to Apply?

Applications are open. Deadline: 2026-12-06 23:45:00.

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: https://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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