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Advanced Master Finance & Big Data

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Become an expert in Data Science for the financial sector

The Master of Science Finance & Big Data trains specialised data scientists in order to meet the needs of the financial sector. After earning the MSc Finance & Big Data, our graduates will be prepared to put into practice their technical skills in big data processing, applied to market forecasts, portfolio allocation, market/credit risk management and operational risk. They will have access to data scientist positions in Front office and Middle Office teams for company divisions that handle trading, risk-management, IT, investment bank compliance divisions, funds management and insurance companies as well as specialised financial consulting firms.

5 good reasons to enter the MSc Finance & Big Data

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    A promising and expanding market: the financial, banking, insurance and consulting sectors have a major need for data scientists

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    An innovative training course in direct contact with the latest developments in data science applied in the financial sector and its related branches that will help learners become real specialists who are immediately effective.

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    A teaching approach based on learning by doing: trading room simulations, project management, direct skills application…

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    Training provided by professionals in finance and data science as well as research professors

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    A programme compatible with professional activity (internship, company assignment, etc.)

 

The financial sector is in great need of data scientists. They must master a wide range of skills and knowledge: from market finance and insurance to corporate finance.

Messaoud Chibane, Head of MSc Finance & Big Data – Engineer – Ph.D. in Finance – Specialist in Quantitative Analysis

Curriculum

15 months in sandwich format to become a specialist in data science applied to science

The Master of Science Finance & Big Data consists of 8 modules that combine know-how and interpersonal skills. The skills taught in this programme enable learners to become experts in specialised financial engineering applied to big data processing where the graduates will master theoretical and operational aspects of data science applied to finance.

In addition to this imparted knowledge, many different professional skills are put into practice so that the students can be immediately effective at their companies.

 

Highlights:

  • Exploration of Big Data through simulations and practical cases, which companies come and present during the programme.
  • Application of Big Data, digital methods and A.I. in the following fields of finance:
    • Portfolio allocation
    • Financial market forecast models
    • Detecting market sentiment
    • Algorithmic trading
    • High-frequency trading
  • Visits to trading floors as well as Big Data processing centres directly linked to financial services.

Careers

Multiple career opportunities in the financial sector

The MSc in Finance & Big Data at NEOMA BS teaches specialised data scientists in order to meet the needs of the financial sector.

Our graduates will be prepared to put into practice their technical skills in Big Data processing, applied to:

  • Market forecast
  • Portfolio allocation
  • Market/credit risk management
  • Operational risks

They will have access to data scientist positions in Front office and Middle Office teams for company divisions that handle trading, risk-management, IT, investment bank compliance, funds management and insurance companies as well as specialised financial consulting firms

The positions that you can aspire to:

  • Quantitative Analyst
  • Quantitative Trader
  • Portfolio Manager
  • Chief Data Officer
  • Risk Manager
  • Credit Analyst

Nos diplômés seront aptes à mettre en pratique de façon opérationnelle leurs compétences techniques dans le traitement de Big Data appliqué :

  • aux prédictions de marché,
  • à l’allocation de portefeuille,
  • la gestion du risque de crédit/marché
  • du risque opérationnel.

Ils auront accès à des postes de Data Scientists dans les équipes Front office et Middle Office des divisions trading, risk-management, IT et compliance des banques d’investissement, gestion de fonds et compagnies d’assurance ainsi que les entreprises de conseil spécialisés en finance.

Les postes auxquels vous pourrez prétendre :

  • Quantitative Analyst
  • Quantitative Trader
  • Portfolio Manager
  • Chief Data Officer
  • Risk Manager
  • Credit Analyst

Admissions

Enter the MSc Finance & Big Data

Given the high technicality required in the fields of data science and finance, we seek applicants with highly quantitative profiles:

  • Engineers
  • Holders of a PhD or a Masters specialising in mathematics, physics, economics or econometrics.
  • Business school graduates with a strong emphasise on quantitative techniques

A solid level of English is needed: Level B2 CECRL (equivalent: TOEFL 75 minimum)

Applicants holding the following degrees are eligible:

  • 5-year Master’s degree (Master 2)
  • 4-year postgraduate degree (Master 1)
  • 3-year undergraduate (Bachelor’s degree) with 3 year’s professional experience
  • Equivalent foreign diploma
  • Two-Year MSc for students who hold a 3-year Bachelor’s degree

1st step: Application

The application needs to be filled in on line. It must include the following documents: CV, letters of recommendation and transcripts from the last two academic years.

The selection jury will announce applicants’ acceptance after reviewing the application.

The applications must be finalised no later than 10 days before the date of the interview.

2nd step: Admissions examinations

The applicants deemed admissible after the review of their applications have an interview and take an English test (optional, depending on level).

The interviews are held once per month from January to July 2019 according to the calendar below.

Final acceptance is communicated at the end of these 2 steps for each applicant in the 7 days following the date of the interview.

  • Thursday, September 3rd 2020

Application fee: €100

Information meetings concerning the Advanced Masters/MSc

Information meetings on the Advanced Masters/MSc programmes are held all year long.

Free registration : mspart.time@neoma-bs.fr

From 12:30 a.m. to 2 p.m. on our Paris campus

  • Tuesday, 12 February, 2019
  • Tuesday, 12 March, 2019
  • Tuesday, 16 April, 2019
  • Tuesday, 11 June, 2019

For more information, contact our international team:

Practical information

  • Format:

    Part-time – 3 days in school (Thursday, Friday, Saturday) every two weeks while working at a company.

  • Duration:

    15 months

  • Tuition fees:

    €16,900

  • Campus:

    Paris

  • Teaching language:

    English

  • Course start date:

    16th october 2020

  • Entry level:

    -5-year Master’s degree (Master2) | -4-year postgraduate degree (Master1) | -3-year undergraduate (Bachelor’s degree) with 3 year’s professional experience | -Equivalent foreign diploma | Two-Year MSc for students with a 3-year Bachelor. English – Level B2 CECRL recommended (equivalent - TOEIC 750 minimum)

  • Degree awarded:

    Master of Science/Grade de Master

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Practical information

  • Practical information
    • Format:

      Part-time – 3 days in school (Thursday, Friday, Saturday) every two weeks while working at a company.

    • Duration:

      15 months

    • Tuition fees:

      0€

    • Campus:

      Paris

    • Teaching language:

      English

    • Course start date:

      October 2020

    • Entry level:

      -5-year Master’s degree (Master2) | -4-year postgraduate degree (Master1) | -3-year undergraduate (Bachelor’s degree) with 3 year’s professional experience | -Equivalent foreign diploma | Two-Year MSc for students with a 3-year Bachelor. English – Level B2 CECRL recommended (equivalent - TOEIC 750 minimum)

    • Degree awarded:

      Master of Science/Grade de Master