The Master of Science (MS) in IT and Data Science is a graduate-level programme that focuses on developing knowledge and skills related to information technology (IT) and data science. The programme typically includes a combination of coursework, projects, and practical experience, with a focus on developing a deep understanding of data science and its applications in various fields.
DURATION
12 - 18 months
MODE OF LEARNING AND ASSESSMENT
100% Online, Self Paced Learning mode
PAYMENT TERMS
One-time or Installment Payments
WORKLOAD
10-12 hrs per week
CONTACT
Learning objectives
The primary learning objectives of the MS in IT and Data Science programme are to develop a thorough understanding of various data science techniques and their applications. This includes learning how to collect, store, process, analyze, and visualize data using a variety of tools and technologies. Students will also gain a deep understanding of the underlying mathematical and statistical concepts that underpin data science.
Career Outcomes
Graduates of an MS in IT and Data Science programme are typically well-suited for a wide range of careers in the technology and data science fields. Some potential career outcomes include data analyst, data scientist, data engineer, business intelligence analyst, software developer, and more. These roles may be in a variety of industries, including finance, healthcare, technology, and more.
Entry Requirements
1. Completion of a relevant Bachelor degree or an equivalent qualification in a related field, such as computer science, engineering, mathematics, or statistics.
2. Proficiency in the English language, which may be demonstrated through standardized tests such as TOEFL or IELTS, or EIU’s own English Proficiency Test. Those who had completed their previous education in the English medium would not be required any English proficiency test for entry into this programme.
3. Preferably in possession of at least 3-5 years of relevant work experience in the IT or data sciences field; Internship could be counted toward this requirement.
4. Able and willing to work remotely and independently.
Modules to be Completed
The specific courses and curriculum for MS in IT & Data Science at EIU-Paris include:
1. ITDS420 Data Structures and Algorithms (7.5 ECTS)
2. ITDS440 Statistical Analysis for Data Science (7.5 ECTS)
3. ITDS460 Data Analytics and Visualization (7.5 ECTS)
4. ITDS520 Big Data Technologies and Analytics (7.5 ECTS)
5. ITDS540 Machine Learning and Artificial Intelligence (7.5 ECTS)
6. ITDS620 Programming languages and software development (7.5 ECTS)
7. ITDS640 Cloud Computing and Distributed Systems (7.5 ECTS)
8. ITDS660 Ethical and Legal Issues Related to Data Science (7.5 ECTS)
9. ITDS680 Capstone Project or Internship in IT and Data Science (30 ECTS)
Total = 90 ECTS
Admission Process
Applicants must:
- Submit all of the required documents via EIU official website.
- Get documents reviewed and verified by the EIU admissions team (around 5 working days).
- Receive enrollment confirmation with a Offer Letter and Invoice.
- Settle the payment.
- Receive Acceptance Letter.
- Start the programme.
Assessment Learning
Personalised exercises, assignments and/or quizzes are utilised throughout the course/programme to measure progress in learning. Such comprehensive assessment procedure is characterised by being diagnostic, formative (intervention-oriented), and summative.
Recognition, Accreditation & Membership
The European International University (EIU-Paris), is a private higher education establishment authorized by the French Ministry of Higher Education, Research, and Innovation, in accordance to and in compliance with the French Education Act: Code de l’Education Articles L 444-1 to 444-11 and R 444-1 to 444-28.
EIU-Paris is also internationally accredited by the Accreditation Service for International Schools, Colleges and Universities (ASIC). EIU is accredited with Premier University status by ASIC, UK, since 2nd October 2018. ASIC is recognized by UKVI in the UK, is a member of the CHEA International Quality Group (CIQG) in the USA and is listed in their International Directory. It is also a member of the British Quality Foundation (BQF), an affiliate of European Network for Quality Assurance (ENQA) and an institutional member of European Distance and E-Learning Network (EDEN).
EIU-Paris has also obtained accreditation candidacy status, and is currently pursuing programmatic accreditation from the Accreditation Council for Business Schools and Programs (ACBSP), United States.
The European International University is further audited and quality assured, as well as ranked, by internationally acclaimed bodies such as QS, ACBSP, ECBE, BGA, ATHEA, and CEOWORLD Magazine.
For more information about EIU-Paris Recognition and Accreditation, please visit https://eiu.ac/recognition-and-accreditation/
Completion Requirements
100% completion of courses and assessment therein is required to be able to get certified in the said course and/or programme.
Graduation Requirements
To receive a degree in the programme of study, students must achieve the following:
- Complete the course as prescribed in the academic catalog under which the student enrolled.
- Complete unit and course requirements with a minimum of a 49% ECTS.
- Complete the programme of study within 150% of the published length of the programme.
Grading Scheme
The grading system is defined as follows:
| Pass: | |
| Higher Distinction | 90-100% |
| Distinction | 80-89% |
| First Division | 70-79% |
| Second Division | 60-69% |
| Satisfactory | 50-59% |
| Fail: | |
| Unsatisfactory | 49% and below |
Awards Upon Completion
For sample, click here
Learning objectives
The primary learning objectives of the MS in IT and Data Science programme are to develop a thorough understanding of various data science techniques and their applications. This includes learning how to collect, store, process, analyze, and visualize data using a variety of tools and technologies. Students will also gain a deep understanding of the underlying mathematical and statistical concepts that underpin data science.
Career Outcomes
Graduates of an MS in IT and Data Science programme are typically well-suited for a wide range of careers in the technology and data science fields. Some potential career outcomes include data analyst, data scientist, data engineer, business intelligence analyst, software developer, and more. These roles may be in a variety of industries, including finance, healthcare, technology, and more.
Entry Requirements
1. Completion of a relevant Bachelor degree or an equivalent qualification in a related field, such as computer science, engineering, mathematics, or statistics.
2. Proficiency in the English language, which may be demonstrated through standardized tests such as TOEFL or IELTS, or EIU’s own English Proficiency Test. Those who had completed their previous education in the English medium would not be required any English proficiency test for entry into this programme.
3. Preferably in possession of at least 3-5 years of relevant work experience in the IT or data sciences field; Internship could be counted toward this requirement.
4. Able and willing to work remotely and independently.
Modules to be Completed
The specific courses and curriculum for MS in IT & Data Science at EIU-Paris include:
1. ITDS420 Data Structures and Algorithms (7.5 ECTS)
2. ITDS440 Statistical Analysis for Data Science (7.5 ECTS)
3. ITDS460 Data Analytics and Visualization (7.5 ECTS)
4. ITDS520 Big Data Technologies and Analytics (7.5 ECTS)
5. ITDS540 Machine Learning and Artificial Intelligence (7.5 ECTS)
6. ITDS620 Programming languages and software development (7.5 ECTS)
7. ITDS640 Cloud Computing and Distributed Systems (7.5 ECTS)
8. ITDS660 Ethical and Legal Issues Related to Data Science (7.5 ECTS)
9. ITDS680 Capstone Project or Internship in IT and Data Science (30 ECTS)
Total = 90 ECTS
Admission Process
Applicants must:
- Submit all of the required documents via EIU official website.
- Get documents reviewed and verified by the EIU admissions team (around 5 working days).
- Receive enrollment confirmation with a Offer Letter and Invoice.
- Settle the payment.
- Receive Acceptance Letter.
- Start the programme.
Assessment Learning
Personalised exercises, assignments and/or quizzes are utilised throughout the course/programme to measure progress in learning. Such comprehensive assessment procedure is characterised by being diagnostic, formative (intervention-oriented), and summative.
Recognition, Accreditation & Membership
The European International University (EIU-Paris), is a private higher education establishment authorized by the French Ministry of Higher Education, Research, and Innovation, in accordance to and in compliance with the French Education Act: Code de l’Education Articles L 444-1 to 444-11 and R 444-1 to 444-28.
EIU-Paris is also internationally accredited by the Accreditation Service for International Schools, Colleges and Universities (ASIC). EIU is accredited with Premier University status by ASIC, UK, since 2nd October 2018. ASIC is recognized by UKVI in the UK, is a member of the CHEA International Quality Group (CIQG) in the USA and is listed in their International Directory. It is also a member of the British Quality Foundation (BQF), an affiliate of European Network for Quality Assurance (ENQA) and an institutional member of European Distance and E-Learning Network (EDEN).
EIU-Paris has also obtained accreditation candidacy status, and is currently pursuing programmatic accreditation from the Accreditation Council for Business Schools and Programs (ACBSP), United States.
The European International University is further audited and quality assured, as well as ranked, by internationally acclaimed bodies such as QS, ACBSP, ECBE, BGA, ATHEA, and CEOWORLD Magazine.
For more information about EIU-Paris Recognition and Accreditation, please visit https://eiu.ac/recognition-and-accreditation/
Completion Requirements
100% completion of courses and assessment therein is required to be able to get certified in the said course and/or programme.
Graduation Requirements
To receive a degree in the programme of study, students must achieve the following:
- Complete the course as prescribed in the academic catalog under which the student enrolled.
- Complete unit and course requirements with a minimum of a 49% ECTS.
- Complete the programme of study within 150% of the published length of the programme.
Grading Scheme
The grading system is defined as follows:
| Pass: | |
| Higher Distinction | 90-100% |
| Distinction | 80-89% |
| First Division | 70-79% |
| Second Division | 60-69% |
| Satisfactory | 50-59% |
| Fail: | |
| Unsatisfactory | 49% and below |
Awards Upon Completion
For sample, click here
