MS in IT & Data Science
The Master of Science (MS) in IT & Data Science is a graduate-level programme that focuses on…
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The Master of Science (MS) in IT & 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.
MS in IT & Data Science Program Aim
The primary learning objectives of the MS in IT & Data Science program 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.
MS in IT & Data Science 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 program.
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
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.
U.S. & Canada Equivalency
CERTIFIED COURSE-BY-COURSE FOREIGN ACADEMIC EVALUATION (U.S. & CANADA EQUIVALENCY):
EIU’s Degree programmes have been reviewed and evaluated against U.S. and Canadian standards and are certified to be equivalent to degrees conferred by Regionally Accredited Universities in the United States and Canada.
This means that the EIU Degree programmes meet full or partial requirements for U.S. Citizenship and Immigration Services (USCIS) promulgated by the United States Dept. of Homeland Security. Additionally, the EIU Degree programmes also meet requirements for continuing education and/or employment in the U.S. and Canada.
This evaluation is done following guidelines set by AACROA evaluation guidelines, as well as, based on best practices promulgated by The Association for International Credential Evaluation Professionals (TAICEP), the National Association of Graduate Admissions Professionals (NAGAP), The European Association for International Education (EAIE), and the Association of International Educators (NAFSA).
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