Master of Science in Data Analytics and Technologies

| Overview

The Master of Science in Data Analytics and Technologies delivers an extensive curriculum meticulously crafted to furnish you with the advanced proficiencies necessary for excelling in a data analytics career. Seamlessly blending theoretical underpinnings with hands-on practical experiences, this program primes you for the ever-evolving landscape of the data analytics industry.

| Entry Requirement for the Master of Science in Data Analytics and Technologies

➔ A bachelor’s degree in Data Science, Computer Science, or a related field.

➔ Relevant professional experience in data analytics or related areas.
➔ Non-traditional qualifications may also be considered, possibly requiring a portfolio of work or an interview.

➔ If English is not your first language, need IELTS 6.0 with no less than 5.5 in any band.

| Programme Benefits

1. Global Recognition: This MSc programme boasts worldwide recognition, guaranteeing exceptional academic standards and elevating your competitiveness in the global job market.

2. Comprehensive Educational Experience: Covering a diverse array of advanced subjects, the curriculum furnishes a robust theoretical framework alongside practical industry-relevant skills.

3. Pathways to Advanced Education: Graduating from this MSc program opens doors to further academic pursuits, such as pursuing a PhD, with wide acceptance by universities worldwide for continued studies.

4. Expanded Career Horizons: Equipped with extensive knowledge and skills, graduates are primed for advanced roles like Data Analyst, Data Scientist, and Business Intelligence Analyst, among others. Employers highly value the expertise acquired through this program.

5. Global Career Mobility: Holding an MSc degree enhances your capacity to explore career opportunities on a global scale. Multinational corporations often prefer candidates with recognised advanced qualifications.

6. Assured Quality: Adhering to rigorous quality assurance standards, the program ensures a top-tier education that is both reputable and invaluable.

7. Flexible Learning Pathways: With various learning options including online resources and support, the programme accommodates diverse schedules, enabling students to balance their studies with other commitments.

| Required Documents for the Master of Science in Data Analytics and Technologies

➢ The bachelor’s degree in Software Engineering, Computer Science, or a related field.

➢ The bachelor’s degree Transcript.

➢ Copy of CIN card (for Moroccan students)

➢ Passport copy (for foreign students)

➢ 2 Photos

➢ Cover letter

➢ Resume

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Awarded By

Delivered by:

In Partnership With

Delivery Method

Fulltime/ Face to face

Duration

1 Year

Assessment

Assessment through examination and coursework assignments.

Start Date

September

Units:

8 units

Credits:

120

Download Course Info

Programme Structure

Students must study the following modules:

+ Advanced-Data Analysis Techniques:

Master sophisticated data analysis methods, including statistical modelling, predictive analytics, and data mining. This module prepares you to handle large datasets and derive meaningful insights.

+ Big Data Technologies:

Explore the tools and technologies used in managing and analyzing big data, such as Hadoop, Spark, and NoSQL databases. Learn to process and analyze massive data sets efficiently.

+ Data Visualization:

Develop skills in data visualization techniques to effectively communicate data insights. This module covers tools like Tableau, Power BI, and D3.js, emphasizing the creation of impactful visualizations..

+ Machine Learning:

Understand the fundamentals of machine learning algorithms and their applications. Learn to implement machine learning models using Python and R for predictive analysis and pattern recognition.

+ Business Intelligence:

Gain expertise in business intelligence tools and practices. This module includes the use of software like SAP BI and Microsoft BI for strategic decision-making.

+ Database Management Systems:

Delve into advanced database management systems, focusing on the design, development, and optimization of databases for efficient data storage and retrieval.

+ Ethical and Legal Issues in Data Analytics:

Learn about the ethical and legal considerations in data analytics, including data privacy, security, and regulatory compliance.

+ Capstone Project:

Apply your knowledge in a practical project, solving real-world problems using data analytics techniques. This module involves project planning, execution, and presentation of findings.

Master of Science in Data Analytics and Technologies benefits

Career Readiness

Equips graduates with practical skills and knowledge essential forentry-level roles in various industries.

Structured Progression Pathways

Provides structured pathways for academic and career advancement, facilitating seamless transitions to higher education or employment.

International Recognition

HESTIM’s partnership with IT’S BRITZ EDUCATION ensures international recognition and accreditation of the qualification, enhancing its value and credibility in the global market.