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MASTER
Science In Quantitative And Financial Modeling

  HomeISTI - Institute of Science, Technology & Innovation  |  Master Of Science In Quantitative And Financial Modeling 2

Master Of Science In Quantitative And Financial Modeling 2

OBJECTIVES

The Master of Science in Quantitative and Financial Modelling (QFM) is a 2-year program that has been designed to provide advanced training in novel quantitative approaches and techniques to solve complex challenges that organizations face.

The Master of Science in Quantitative and Financial Modelling (QFM) provides specializations in quantitative modeling, data engineering, and financial engineering.

With these three specializations, the program aims to cover a broad range of quantitative skill sets required in various industries. Among other benefits, the program enables candidates to demonstrate leadership, for themselves and others, incorporating social, economic, and ethical dimensions for an inclusive organization.

ADVANTAGES

PROGRAM
STRUCTURE

Semester 1

Common Courses

  • Advanced Python Programming ó Database Management.
  • Advanced Statistical Methods for Modeling and Finance.
  • Operations Research & Dynamic Programming
  • Applied Probability & Stochastic Modelling
  • Advanced Computational Methods 1
  • Innovation Project Management

Semester 2

Quantitative Modelling Specialization

  • Machine and Deep Learning
  • Stochastic Optimization
  • Numerical Linear Algebra & Parallel Computing.
  • Advanced Computational Methods 11
  • Special Topics and Seminars in Quantitative Modelling (*)
  • Project S2 in Quantitative Modelling

Financial Engineering Specialization

  • Machine and Deep Learning
  • Stochastic Optimization
  • Numerical Linear Algebra & Parallel Computing.
  • Probability Theory and Stochastic Processes
  • Special Topics and Seminars in Quantitative Modelling (*)
  • Project S2 in Quantitative Modelling

Data Engineering Specialization

  • Machine and Deep Learning
  • Stochastic Optimization
  • Numerical Linear Algebra & Parallel Computing.
  • Cloud Native AI & M L1.
  • Special Topics and Seminars in Data Science (*)
  • Project S2 in Data Science

Semester 3

Quantitative Modelling Specialization

  • Graphs, Dynamic of Games and Learning
  • Machine Learning on Graphs and High Dimensional Approximation
  • Computational Biology
  • Computational Physics
  • Advanced Topics and Seminars in Quantitative Modeling (*)
  • Project S3 in Quantitative Modelling

Financial Engineering Specialization

  • Actuarial Science
  • Modern Portfolio Management
  • Stochastic Control in Finance and Insurance
  • Foreign Exchange, Interest Rotes, and Equity Modelling
  • Quantitative Risk Management
  • Asset Liability Management

Data Engineering Specialization

  • Graphs, Dynamic of Games and Learning
  • Machine Learning with Graphs and High Dimensional Approximation
  • Reinforcement Learning
  • Cloud Native AI & ML 2.
  • Advanced Topics and Seminars in Data Science (*)
  • Project S3 in Data Science
Formalités d'Admission

Admission & fees

Selection Process

  • Application Review
  • Entry Exam
  • Oral Interview

Scholarship

In line with its civic commitment, UM6P, a meritocratic university, supports the brightest student through an appealing system of academic scholarships and financial aid grants

Duration

2 Years

Langague

English/French

Tuition and fees

Registration fee : 5.000 MAD

Tuition costs : 75.000 MAD / year

Admission Calendar

Admission sessions are organised regularly. Please check the website : www.abs.um6p.ma

Mme: Kenza OUADGHIRI BENCHERIF

Email: Kenza.ouadghiri@um6p.ma