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LIBA ONLINE PROGRAMMES

Executive Diploma in Investment Management & Algorithmic Trading

Build your expertise in investment management, financial markets and algorithmic trading with LIBA’s executive programme. Explore data-driven investment strategies and quantitative techniques for informed financial decision-making.

Duration 11 Months
Learning Mode Online
Learning Focus Finance & Trading

Flexible learning for your professional journey

Professional learner studying online with a laptop
Learn. Lead. Grow. Build your management skills
Quality Education
Reputed Institution
Flexible Learning
Career Advancement

Duration

11 Months

3 Terms

Eligibility

Bachelor's Degree

Minimum 50% marks

Learning Mode

100% Online

Live Online Classes

Total Fee

₹1,11,642 + GST

Full program fee

Intake

July 2026

Cohort intake

The LIBA Advantage

Why Choose LIBA?

A legacy of academic excellence, ethical leadership, and a globally connected management education community.

AICTE Approved

Recognized management education with credibility for your Executive Diploma in Investment Management & Algorithmic Trading.

Jesuit Heritage

A legacy since 1979 rooted in ethics, leadership, and academic rigour.

SAQS Accreditation

International quality benchmarks for management education.

Harvard Case Method

Case-based learning for analytical thinking and decision-making.

Global Alumni Network

Professional connections across industries and communities.

Chennai Campus Immersion

Optional campus experiences for networking and collaboration.

LIBA campus in Chennai
LIBA · Chennai

Learn. Lead. Make an Impact.

More Than a
Management Education

A community built on academic excellence, ethical values, and meaningful connections.

Loyola College Road, Chennai

Is This Programme for You?

Who Should Apply?

Designed for professionals interested in investment management, financial markets, quantitative analysis and algorithmic trading.

01

Finance Professionals

Banking, finance and investment professionals looking to deepen their understanding of investment analysis and financial markets.

Investment Expertise
02

IT & Technology Professionals

Software engineers and technology specialists interested in applying programming, automation and quantitative techniques to finance.

Finance & Technology
03

Analysts & Quantitative Thinkers

Professionals with an interest in financial data, statistical analysis, quantitative modelling and systematic investment strategies.

Data-Driven Insights
04

Aspiring Investment Professionals

Learners seeking structured exposure to investment management, market analysis and algorithmic trading concepts.

Professional Development

Academic Qualification

Check official entry requirements

Professional Background

Confirm any experience requirements

Admission Requirements

Contact admissions to confirm the programme's eligibility criteria.

Programme Curriculum

From Financial Markets to Algorithmic Trading.

Explore a progressive learning journey that connects investment fundamentals, Python-powered financial analytics and systematic trading strategies with practical financial applications.

3 Learning Terms 11 Months Python for Finance

TERM 01

Investment Foundations

Build an understanding of financial markets, investment instruments, portfolio management and Python fundamentals for financial analysis.

Subjects & Learning Areas

01 / 03

Meet Our Faculty

Learn from Distinguished Educators

Experienced educators and industry leaders guiding future business professionals.

Prof. Kishore Kunal

Prof. Kishore Kunal

Professor & Dean

Online Education Initiatives

Dr. Ramprakash K.R

Dr. Ramprakash K.R

Assistant Professor

LIBA Online Learning

Dr. R. Arun Prasad

Dr. R. Arun Prasad

Assistant Professor

Online Learning

Dr. Vikash Kumar

Dr. Vikash Kumar

Associate Professor

Financial Practices - LIBA Online Learning

Your Career Path

Career Outcomes

Explore career pathways across investment analysis, portfolio management and algorithmic trading by building practical financial and analytical skills.

Pathway 01

Financial Analyst

Portfolio Analyst

Develop skills in investment research, asset evaluation and portfolio performance analysis.

Pathway 02

Python & Data

Trading Analyst

Apply financial data analysis, systematic trading strategies and backtesting techniques.

Pathway 03

Risk Analysis

Investment Research

Explore opportunities involving market research, derivatives, risk measurement and investment decisions.

Professional Development

Build Your Financial Expertise

Strengthen your understanding of financial markets, quantitative analysis and systematic investment strategies through structured learning and a practical capstone.

Investment Knowledge

Understand markets, assets and portfolios.

Practical Analytics

Explore Python, financial data and backtesting.

Capstone Experience

Develop and present an applied finance project.

Career pathways are illustrative, not placement guarantees. Outcomes depend on prior qualifications, experience, skills and employer requirements.

Investment

Fees & Payment Options

A transparent fee structure designed to support your professional growth.

Total Programme Fee

₹1,11,642 + GST

Total programme investment

Registration Fee

₹1,991

Fee Breakdown

Programme payment information

Registration Fee

Initial registration

₹1,991

Total Programme Fee

Complete programme

₹1,11,642 + GST

Corporate Reimbursement

For eligible employer claims

Invoicing Available

Please contact the admissions team for the detailed payment schedule and applicable fee terms.

Transparent Fee Structure
Flexible Payment Options
Corporate Invoicing

How to Join

Admission Process

Four simple steps to begin your admission journey.

STEP 01

Online Registration

Submit your registration details online.

STEP 02

Counselor Contact

Connect with an admissions counselor.

STEP 03

Documents Verification

Submit documents for verification.

STEP 04

Admission Approval

The candidate recives the offer letter.

Swipe to view all steps

Keep Your Documents Ready

ID proof, Bachelor's degree certificate, academic transcripts, passport-size photograph, and updated resume.

Answers

Frequently Asked Questions

Find answers about the Investment Management & Algorithmic Trading programme, eligibility, curriculum, fees and learning experience.

What is the Executive Diploma in Investment Management & Algorithmic Trading?

It is an executive programme from LIBA focused on investment management, financial markets, financial data analytics, Python for Finance and algorithmic trading. The curriculum also covers strategy development, backtesting, risk management and a practical capstone project.

What is the duration of the programme?

The published programme duration is 11 months, structured across three learning terms. Confirm the current batch calendar and schedule with the admissions team.

Who is eligible to apply?

The published eligibility information specifies a bachelor's degree in any discipline. Prospective applicants should confirm the latest admission criteria and any additional requirements with LIBA before applying.

Do I need prior experience in finance or stock markets?

The programme may interest finance professionals, analysts, engineers and technology professionals looking to develop financial and quantitative skills. Check with admissions whether any prior finance knowledge or work experience is required.

What topics are covered in the curriculum?

Key topics include financial markets and investment instruments, Python for Finance, investment analysis, portfolio management, financial data analytics, algorithmic trading strategies, derivatives, risk management, backtesting, trading systems and a capstone project.

Will I learn Python and practical algorithmic trading?

Yes. Python for Finance, financial data analysis, strategy development and backtesting are part of the published curriculum. The programme also includes a capstone project. The exact tools, project requirements and access arrangements should be confirmed with LIBA.

What is the programme fee?

The published fee is ₹1,11,642 plus applicable GST. Fees and payment terms may change, so confirm the current total, payment deadlines, taxes and any additional charges with admissions before enrolling.

Are live online classes part of the programme?

The programme is listed as an online programme with live classes. Contact admissions for the current class timetable, attendance requirements, session recordings and learning platform access.

What career opportunities can this programme support?

Relevant career paths may include investment analyst, portfolio analyst, financial data analyst, algorithmic trading analyst, equity research associate and risk analyst. Actual opportunities depend on your background, skills, experience and employer requirements. The programme does not guarantee employment or salary outcomes.

What certificate or qualification will I receive?

The programme is listed as an Executive Diploma awarded by LIBA. Confirm the exact award title, completion requirements and certificate issuance process with the institution.

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Still Have Questions?

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Your Next Career Starts Here.

Advance your financial expertise with LIBA’s Executive Diploma in Investment Management & Algorithmic Trading. Develop practical skills in financial analytics, Python for Finance and systematic trading strategies.

Industry-Relevant Learning
Flexible Online Learning
Expert Academic Guidance
Career-Focused Curriculum

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