MS Data Science & AI
Project based learning for immediate Data Science Jobs
Accreditation
MS Data Science & AI is a 90 ECTS, Malta Qualifications Framework (MQF) / European Qualifications Framework (EQF) Level 7 Masters degree with full accreditation and is globally recognised.
- Key Data
- Target Learners
- Curriculum
- Assessment
- Admission
- Contact
Programme Overview
MS Data Science & AI provides huge career growth. The data science industry is booming, with job opportunities projected to increase by 36 percent by 2031. As data and technology become integral to various sectors such as healthcare, digital marketing, financial services, technology, retail, media, and telecommunications, the demand for professionals who can manage and interpret this data continues to rise.
Our MS Data Science & AI programme is designed and quality assured by doctoral and post-doctoral Professors along with industry experts with huge experience. Learners study 12 modules and a Capstone Consulting Project with an industry mentor. All modules are assessed using project based assignment, and a Capstone Consulting Project and a Master Thesis towards the end of the programme with an industry mentor.
In addition, all our learners become member of our Competency Lab to develop Career, Research and Entrepreneurial Skills, along with Digital Skills in the programme. Our learners are facilitated in preparing public portfolio such as publications, or own GitHub, etc. which allows them boost their profile and promote employability.
Learning Outcomes
Knowledge & Understanding ->
Skills ->
Key Fact
Programme Start Date
1st working day of every month
Application Due Date
Day 20th of every month
ECTS Credits
90 ECTS Credits
MQF/ EQF Level
Masters Degree, Level 7
Duration
12 - 36 Months
Weekly Hours
15-40 Hours per week
Language
English
Accreditation
Fully Accredited
Mode
Online OR Blended with dual degree
Teaching
Asynchronous with live online Residencies
Fees
Euro 3,000 per Semester for 3 Semesters (Scholarships available)
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All Key Data ->
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Curriculum & Structure
Curriculum & Structure
Students will discover the concepts and gain expertise in the usage and applications of algorithms of Data Science and Artificial Intelligence. They will have abundant opportunities to plunge into advanced concepts. Through hands-on projects, students will gain experience on the concepts behind search algorithms, clustering, classification, optimization, reinforcement learning and other topics such as deep learning, computer vision, natural language processing techniques and incorporate the learning in Python.
This programme would enable students to embrace the concepts of DS and AI and understand their extension to its application. Students will work on projects involving AI in healthcare, education, finance, manufacturing sectors etc. Meticulously designed curriculum suitable to the industry needs with a high focus on practical applications.
Review Curriculum & Structure ->
Exit Awards/Qualifications
Our strategic accreditation allows every learner to earn ECTS credits for every module they study. This allows students to take deferrals, exits and re-join studies and use same ECTS credits for an advanced entry into the programme.
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You learn the most in-practice tools
Students will acquire a knowledge of Data Science and AI tools such as Matplotlib, Pandas, NumPy, Scikit-learn, TensorFlow, R etc., and concepts such as Data science and statistical concepts, Programming with Python, SQL, NoSQL, Artificial Intelligence, Machine Learning, Big Data, Natural Language Processing, Deep Learning, Computer Vision during the whole teaching and learning process.
Target Learners Age
Ages 19 – 30
Age 31 – 65
Prospective Job Titles
- Data Analyst
- Natural Language Processing Engineer
- Research Scholar
- Computer Vision Engineer
- Data Scientist
- Machine Learning Engineer
- AI Engineer
- Software Engineer
Target Learners ->
Industry Expert Message
“Welcome to this program on MS Data Science & Artificial Intelligence. I have the honour of reviewing the curriculum and teaching "Computer Vision Course".
Overall, I am impressed with the depth of curriculum. More so, I find the hybrid style of teaching highly effective.
The courses are well and thoughtfully designed with the tools taught that are used in the industry. I being the founder of the Creo Group, an IT consulting company in Hungary takes this immense pleasure to mentor future generation, learners enrolled in this programme.
Best Wishes,
László Grad-Gyenge,
Managing Director, Creo Group
Professor, European Global
Internationalisation & Dual Degree
Online: Enrolment for Global Audience
Our MS Data Science & AI programme can be studied anywhere in the world via our Learning Management System (LMS). The content is specially procured by highly experienced professors and industry experts team for you to learn 24X7. Learners are provided Success manager on first day, with regular MasterCamps & Residencies. This programme can be studied anywhere in the world and earn globally reputed MQF/EQF accredited degree.
Mobility: Start Online and finish on Campus in France
Our MS Data Science & AI Programme's credits are recognised by our partner university in France. This allows you to study 1 year online with us, and then move to France for 1 year to our partner University - AiVancity and graduate with dual degree.
Admissions
Design Tomorrow’s Innovation with Data and AI Skills
1. Eligibility Criteria
Review list of documents For any questions, please attend next open house or write at admissions@euglobal.edu.eu Details ->
2. Upload Documents
Express Interest or Upload documents
Expression of Interest ->
Upload documents ->
3. Selection Process
Your documents will be evaluated, and if your submitted documents suffice, you will be offered an admission offer letter. If your documents doesn't suffice, you will be invited for an interview or further documents.
4. Fees, Financing & Scholarships
Euro 3,000 per Semester for 3 Semesters (Scholarships available)
Instalments possible
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5. Enrolment Letter
Once fees is received, you will be issued an enrolment letter with an induction pack and academics students success manager contact to initiate your studies.
Downloads
Design Tomorrow’s Innovation with Data and AI Skills
Contact & Apply
Events, request information form and apply Now
Application & Contact
Programme Start Date: 1st working day of every month
Application Due Date: 20th of every month
Have questions?
Attend our next open house Register here
OR
Email at admissions@euglobal.edu.eu
OR
Call at +49 176 584 00038