Licence programs

Overview of the Program

  • Language

    English

  • Duration

    2 Years

  • Level

    Graduate

  • Approach

    Hybrid

Admission
Objectives
Careers
Certifications
Program

Overview :

The objective of the Master program in Data Science is to train students as the data scientists, researchers, and data analytics developers of tomorrow both in academia and in industry. The program is a response to the lack of experts in this strategic sector in the country, region, and the world. This gap is expected to grow as the digital transformation of our societies produces increasingly massive amounts of data, most of which is now “born digital”. Identifying patterns and predicting trends is crucial for decision makers in all fields, and this makes Data Scientists sought after in all sectors.
Students must be holders of a Licence or Bachelor degree in computer science, computer engineering, electrical engineering, or a related field.

Admission requirements :

Students must be holders of a Licence or Bachelor degree in computer science, computer engineering, electrical engineering, or a related field.

Program objectives :

Today, major players in the business world are increasingly aware of the potential of their data and they are looking for ways to exploit and extract the maximum amount of useful information from it. To help them in this task, data scientists are employed to retrieve, store, organize, and process this mass of information in order to extract value from it and to create automated decision support tools using artificial intelligence techniques. The maturity and effectiveness of data analytics technology is accelerating its adoption throughout industry and government, with applications being developed also by SMEs and associations, as well as major government agencies.
The objective of the Master program in Data Science is to train students as the data scientists, researchers, and data analytics developers of tomorrow both in academia and in industry. The program aims to fill the lack of experts in this strategic sector in the country, region, and the world.
The specific objectives of the master program in data science include providing our graduates with:

  • A solid foundation in data science concepts, techniques, technologies, and tools.

  • A solid foundation in the statistical and mathematical foundations of data science.

  • An in-depth understanding of the challenges of developing and managing data analytics solutions and their risks and implications.

Target careers :

Graduates of the Master program can continue their education to get a PhD in a related field. They can also join the industry to lead data science projects or to develop and manage data analytics solutions for a variety of applications. Graduates can also join multi-disciplinary teams to launch a startup to develop solutions relying on these technologies to serve the needs of clients in a variety of sectors.
Specific potential careers include:

  • Data scientist.

  • Data analyst / Business analytics consultant.

  • Data engineer.

  • Research & development engineer in data mining and knowledge extraction.

  • Consultant in information-intensive industries.

  • Designer of specialized software solutions for the processing & analysis of large amounts of data.

  • Project manager in data-analysis industries.

A few years after successfully completing the Master’s degree in “Data Science”, graduates shall be:

  • Employed in industry and demonstrating career advancement through leadership responsibility, significant technical achievement, or other recognition of their contributions.

  • Continuing their formal education towards a graduate degree or other professional certification in the field or leading their own technology venture.

  • Applying gained knowledge and expertise to develop data science (data collection, analysis, and learning) solutions and applications.

  • Working as data analysts, scientists, engineers, consultants in data analytics and business intelligence, research engineers, or information system and data analytics system architects, designers, and managers.

  • Demonstrating an in-depth understanding of the challenges faced by industry and society in data analysis.

Certifications :

Graduates of the Master program often acquire a number of professional certifications in parallel with their Master’s training thanks to MUST’s Professional Certification Programs (PCP).
In particular, and concurrently with their studies, our students have access to free certifications provided by EC-Council, the owner and developer of the world-famous internationally recognized training programs such Certified Ethical Hacker (CEH), Certified Forensics Investigator, Certified Security Analyst (ECSA), Certified Network Defender, Certified Cloud security engineer, Blockchain developer, among others.
They can also acquire professional certifications offered by leading technology companies, including IBM, Google, and Cisco, through MUST’s Coursera For Campus platform. Certifications are available in various areas including system & network management, cloud computing, cybersecurity, data science, artificial intelligence, machine learning, database management & administration, “Communicating and Interacting Effectively”, and “Thinking Critically and Creatively”.

Program course description :

Semester 1

Course CodeCourse TitleCredits (TN)Credits (US)UE
CS 482Mathematical foundations of data science73.5UE 1
CS 435Big data technologies & applications73.5UE 2
CS 431Data management for data scientists63UE 3
COM 425Advanced technical communication63UET 4
CS 521Software engineering for data scientists42UEO 5

Semester 2

Course CodeCourse TitleCredits (TN)Credits (US)UE
CS 483Machine Learning73.5UE 6
CS 535Scalable big data processing73.5UE 7
CS 451Distributed systems63UE 8
COM 435Effective professional presentations63UET 9
CS 470Data visualization for data scientists42UEO 10

Semester 3

Course CodeCourse TitleCredits (TN)Credits (US)UE
CS 585Machine learning II73.5UE 11
CS 555Cloud computing for data scientists73.5UE 12
CS 581Language Models in Python63UE 13
PHIL 222Ethics & data privacy63UET 14
CS 586Data analytics for emerging applications42UEO 15

Semester 4

Course CodeCourse TitleCredits (TN)Credits (US)UE
ISS 521Master Thesis/Project (Mémoire de Stage de fin d’études )3015UEF 16