Master of Science in Big Data Analytics

Cover Key Principles and Concepts of Big Data Processing

With a focus on learning by doing, the Master of Science in Big Data Analytics covers key principles and concepts of big data processing alongside major platforms and tools used for distributed storage, NoSQL models, resilient pipelining, model building through Machine Learning algorithms & Natural Language Processing.

Students get to apply their knowledge with case studies & final projects using both open source Apache software as well as proprietary technologies.

High-Demand Market

Data is quickly becoming an essential resource for enterprises and research labs striving to stay ahead in today's competitive landscape.

As such, Big Data engineering has become a crucial skill set needed by organizations looking to maximize their decision-making processes with data pipelines.

Unfortunately, there remains a significant shortage of qualified graduates ready to take on these roles, making it an ideal time for those interested in entering this field.

Acquired Skills

The MS in Big Data Analytics program offers comprehensive training to equip engineers with the skills needed across all aspects of data analysis.

Graduates will become adept at setting up effective structures and pipelines for data processing, using advanced analytics tactics such as mining or statistical methods while dealing with various types of sources including web-based, textural or transacted information.

Career Opportunities

A Master of Science in Big Data Analytics can kick-start your career, with potential roles such as Big Data Engineer, Architect or Analyst.

You may even find yourself leading Digital Transformation initiatives as a specialized consultant or project manager.

With these qualifications under your belt, you'll be well equipped to maximize data insights within any organization.

Who Can Apply

Professionals from a wide range of disciplines have the potential to benefit from Al Akhawayn University's Master of Science in Big Data Analytics program.

Individuals with backgrounds in Software Engineering or related fields, General Business/Management coupled with Computer Science knowledge, and Moroccan Universities graduates holding three-year (License) degrees in Maths and/or CS can all apply.

Successful applicants will join an evolving cohort that includes executives such as Big Data Engineers, Architects Analysts & Consultants, Digital Transformation engineers, Project Managers, etc.

In addition, those possessing relevant qualifications originating outside Morocco may need to pass an online foundation course before being accepted into the MSBDA Program.

Key Courses

For those looking to become an expert in Big Data Analytics, a Master of Science degree can provide you with the necessary knowledge and skills.

This program covers topics ranging from introductory concepts such as environment and applications, to data engineering and visualization used for web and text mining.

Additionally, delve into advanced analysis methods like descriptive statistics or machine learning techniques so that you’re fully equipped with all the tools needed for your future career endeavors.

The Big Data Final Project

Through this professional project, students will have the opportunity to demonstrate their expertise by creating a Big Data pipeline that includes Machine Learning techniques.

This intensive three-month journey is supervised closely by faculty and industry/government professionals with both technical knowledge and practical experience.

Upon its completion, participants will showcase their skills through an informative report write-up that documents all aspects of the project’s development.

MSBDA Catalog

Take control of your future and browse MSBDA's comprehensive catalog to begin planning out the semesters ahead.