Brive logo
Η πλατφόρμα
image/svg+xml
Ανακάλυψε τις επαγγελματικές κλίσεις σου ανάμεσα σε 270 εξειδικεύσεις
Δες πόσο ταιριάζεις με χιλιάδες προγράμματα σε όλον τον κόσμο
Κλείσε online ραντεβού, για να λάβεις βοήθεια στην αίτησή σου
Κάνε online αίτηση σε πανεπιστήμια όλου του κόσμου μέσα από την ίδια πλατφόρμα
Στηρίζουμε κάθε βήμα σου, με στόχο την εισαγωγή σου σε μία από τις top επιλογές σου
Συγκέντρωσε πόντους και κέρδισε cashback κάνοντας την αίτησή σου μέσω Brive
Αναζήτηση
Μεταπτυχιακά
image/svg+xml
Οικονομικές Επιστήμες & Λογιστική
image/svg+xml
Μεταπτυχιακό σε Finance and Big Data (MSc) - NEOMA (Paris)
Αίτηση μέσω Brive
Συμπλήρωσε την αίτησή σου για αυτό το πρόγραμμα, και τα υπόλοιπα τα αναλαμβάνουμε εμείς!
Λαμβάνεις δωρεάν έλεγχο/κατάθεση αίτησης
Αυξάνεις τις πιθανότητες εισαγωγής σου
Είμαστε επίσημοι αντιπρόσωποι στην Ελλάδα
ΜΕΤΑΠΤΥΧΙΑΚΑ

Μεταπτυχιακό σε Finance and Big Data (MSc) - NEOMA (Paris)

NEOMA Business School (Paris)
ParisΓαλλία
On campus
Part-time
€17,400.00σύνολο
 1740 Πόντοι
Διάρκεια
1 Έτος
Γλώσσα
Αγγλικά
Αιτήσεις έως
Σεπ 2024

Περιγραφή Προγράμματος

After earning a master in Finance and Big Data (MSc) (μεταπτυχιακό σε Finance and Big Data (MSc)), the 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 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 specialized financial consulting firms.

Προϋποθέσεις Εισαγωγής

Καλύπτεις τα κριτήρια;

Κάνε εγγραφή, διάβασε τις προϋποθέσεις εισαγωγής και δες τη συμβατότητά σου.

Πληροφορίες Προγράμματος

Στόχοι Προγράμματος

The Master of Science Finance & Big Data consists of seven 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.

This programme enables students to:

1. Master the programming languages used in data processing.
2. Analyse and manage financial data.
3. Master the valuation concepts for financial products.
4. Apply the acquired data science techniques in real situations.
5. Independently manage a project requiring big data extraction and processing skills.

The MSc Finance & Big Data is intended for students and professionally active managers who want to undertake additional training and specialise in all the professions associated with data science applied to the financial sector. Its part-time schedule is compatible with professional activity.

All of this programme’s courses are taught completely in English.

Απόκτηση Δεξιοτήτων

The MSc Finance & Big Data programme is based on four skill fields:

1. Identify and promote companies, sectors and/or markets with high potential for added-value creation in France and abroad

2. Make or support decisions concerning financial investments in France and/or abroad while overseeing associated risk control

3. Guide financial decisions and associated risks using financial-decision analysis and monitoring tools

4. Create and implement data-based descriptive and forecast models to facilitate the financial analysis of companies, sectors and/or markets


This programme is accessible via the « VAE » (awarding a qualification based on relevant professional experience).

Βασικά Στοιχεία Προγράμματος

DATA USE

Exploration of big data through simulations and practical studies that companies present during the courses.


BIG DATA APPLICATION IN FINANCE

Digital methods and AI in the following areas:

1. Portfolio allocation
2. Financial market forecast models
3. Detecting market sentiment
4. Algorithmic trading
5. High-Frequency Trading

Διπλωματική Εργασία

The professional thesis is a project whose purpose is to identify an issue important to companies and respond to it by using a conceptual approach and empirical research.

This project must lead to practical recommendations for companies. Its additional purpose is to help students acquire technical expertise while also developing important soft skills for the job market: critical thinking, complex problem resolution, etc.

Μεθοδολογία Αξιολόγησης

The programme is recognised through a dual validation:

1. Ongoing assessment: evaluations conducted throughout the length of the programme in the form of individual or collective reports to be submitted

2. A professional thesis: submission of a written document and an oral defence before a jury made up of 2 tutors and the programme directors


At the end of the programme and after a validation of the ongoing assessment and professional thesis, the Level-7 RNCP of International Financial Analyst, Strategy and Financial Management degree is awarded to the participants.

If some modules were not validated and thus no credits were earned, the programme participant can redo the evaluation during a period set up for this purpose.

Καριέρα - Επαγγελματικές Προοπτικές

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

Χρειάζεσαι βοήθεια στην αίτησή σου;

Προγραμμάτισε, σήμερα, μία δωρεάν συμβουλευτική συνεδρία μαζί μας!