Program Structure
2 years (four semesters)
36 (30 coursework credits + 6 thesis credits)
Regular, Evening, and Weekend options to fit your lifestyle and commitments.
Master of Science in Data Science (MSc)
The Master of Science in Data Science (MSc) program at Emerald International College stands out as Ethiopia's first data science program offered by a private higher institution. This innovative program is designed to provide students with the analytical prowess, statistical knowledge, and technical skills essential in today's data-driven landscape. Our comprehensive curriculum covers key areas such as machine learning, big data analytics, and data visualization, blending rigorous academic theory with practical, real-world applications. Taught by industry experts, the MSc in Data Science equips graduates to address complex data challenges and make impactful decisions across various industries. Join Emerald to lead the way in the data science revolution.
Why Our Master of Science in Data Science (MSc) Program?
The MSc in Data Science program provides advanced analytical and technical skills to harness big data, driving innovation and strategic decisions. Through rigorous coursework and hands-on experience, graduates are prepared to excel in the evolving data science field.
High Demand and Job Opportunities
Data science professionals are in high demand across various industries, offering numerous career opportunities with competitive salaries.
Data-Driven Decision Making
Mastering data science empowers individuals and organizations to make informed, data-driven decisions, leading to better outcomes and strategic advantages.
Versatility and Applicability
Data science skills are versatile and applicable to a wide range of fields, including finance, healthcare, marketing, and technology, making it a valuable and adaptable expertise.
Innovation and Problem-Solving
Data science enables innovative solutions and problem-solving by leveraging advanced analytical techniques and machine learning to uncover patterns and insights from complex data.
Staying Competitive
In an increasingly data-centric world, understanding and utilizing data science is essential for staying competitive, driving efficiency, and maintaining a forward-thinking approach in any industry.
Program Structure
Our A written statement outlining your career goals, motivation for pursuing the program, and how the MSc in Data Science aligns with your aspirations. program structure is
Duration : 2 years (four semesters)
Total Credit Hours : 36 (30 coursework credits + 6 thesis credits)
Flexible Scheduling : Regular, Evening, and Weekend options to fit your lifestyle and commitments.
Course Outline
| S. No. | Course Title | Course Code | Credit Hour |
|---|---|---|---|
| 1 | Research Methods and Professional Issues | DS6181 | 2 |
| 2 | Fundamentals of Data Science | DS6171 | 3 |
| 3 | Statistics for Data Science | DS6121 | 3 |
| 4 | Data Ethics and Privacy | DS6162 | 3 |
| 5 | Elective I | DS62*1 | 3 |
| 6 | Applied Machine Learning | DS6112 | 3 |
| 7 | Data Exploration and Visualization | DS6151 | 3 |
| 8 | Big Data Engineering and Analytics | DS6132 | 3 |
| 9 | Elective II | DS62*2 | 3 |
| 10 | Business Intelligence | DS7141 | 3 |
| 11 | Special Topics in Data Science | DS7191 | 1 |
| 12 | Thesis | DS7311 | 6 |
| Total | 36 |
Elective I
| S. No. | Course Title | Course Code | Credit Hour |
|---|---|---|---|
| 1 | Advanced Database Management System | - | 3 |
| 2 | Cloud Computing: Concepts and Applications | - | 3 |
| 3 | Internet of Things (IoT) | - | 3 |
| 4 | Large Scale Optimization for Data Science | - | 3 |
Elective II
| S. No. | Course Title | Course Code | Credit Hour |
|---|---|---|---|
| 1 | Digital Image Processing and Computer Vision | - | 3 |
| 2 | Natural Language Processing | - | 3 |
| 3 | Spatial Analysis and Modeling | - | 3 |
| 4 | Text Information Systems | - | 3 |
Bridge
| S. No. | Course Title | Course Code | Credit Hour |
|---|---|---|---|
| 1 | Fundamentals of Database Management System | - | P/F |
| 2 | Fundamentals of Programming | - | P/F |
| 3 | Introduction to Probability and Statistics | - | P/F |
| 4 | Software Engineering | - | P/F |
Admissions
Join a diverse community of aspiring project managers by applying to our Master of Science in Data Science (MSc) program. Admission requirements include:
Bachelor of Science Degree (BSc) : From a recognized institution.
Graduate Admission Test (GAT) : Successful completion of the GAT as specified by the Ministry of Education.
Academic Transcripts : Official transcripts from all previously attended institutions demonstrating a strong academic record.
Entrance Exam : Successful completion of the Emerald International College Entrance Exam test.
Statement of Purpose : A written statement outlining your career goals, motivation for pursuing the program, and how the MSc in Data Science aligns with your aspirations.
Letters of Recommendation : Two or three letters of recommendation from academic or professional references who can attest to your qualifications and potential for success in the program.
Professional Experience (Optional) : Relevant work experience in data science, analytics, or related fields can be an advantage.
Application Fee : Payment of the non-refundable application fee as specified by the institution.
Contact Us
Ready to take the next step in your Data Science career? Contact our admissions office to learn more about the MSc in Data Science Program at Emerald International College.
Email: info@emerald.edu.et
Phone: +251 (907) 111-177/99
Address: Lideta next to tesfa kokeb school, Addis Ababa, Ethiopia