Overview
Bachelor of Science in Applied Technologies with an emphasis on Data Analytics is a program designed to equip students with the skills and knowledge needed to extract valuable insights from data. This program combines the fundamentals of computer science, technology, and mathematics with a specialized focus on data analysis and visualization.
The program is designed to equip students with the skills and knowledge necessary to excel in the field of data analysis. This program combines the fundamentals of computer science, technology, and mathematics with a deep focus on data analysis and visualization. The field of data analytics is rapidly growing, with a high demand for skilled professionals. By specializing in data analytics, students will gain the skills and knowledge needed to to solve complex problems, make informed decision and purse exciting career opportunities.
Admission Criteria
- A recognized general education diploma or its equivalent.
- Students joining MCBS must go through an English placement test to determine the appropriate English level.
- Students presenting a valid score of 5.5 and above in IELTS or 65-79 in internet based TOEFL (iBT) are exempt from the first part of the placement test and are required to take the other part of the English language program (writing test).
- Students will need to go through Mathematics and IT placements tests to determine their levels of proficiency in these subjects as they are part of the GFP or possible exemption.
- Mathematics placement tests will determine whether Basic Mathematics (MATH 10) and Pure Mathematics (MATH 21) can be exempted, or students will be given both or one of them.
- IT placement test will determine whether students will require to take the Information Technology.
Program Structure
Duration: Bachelor’s degree requires about 8 semesters or 4 years.
Program delivery: 12-15 credits per normal semester and 6 credits per summer semester.
Internship: Placement on a 3 month internship.
Courses: Apart from courses closely related to the program, students take general education courses.
| Courses | Credits |
|---|---|
| Applied Technologies Core Courses | 48 |
| Data Analytics Emphasis Area | 15 |
| Communication skills | 12 |
| Humanities | 09 |
| Social Sciences | 09 |
| Mathematics & Science | 12 |
| Science Requirements | 08 |
| Free Electives | 6 |
| Internship | 1 |
| Total | 120 |
Data Analytics Emphasis Area (15 Credits)
| Course Code | Course Name | Credits |
|---|---|---|
| Data Analytics | Fuzzy Logic | 3 |
| ITEC 4352 | Intelligent Mobile Robots | 3 |
| ITEC 4354 | Natural Language Processing | 3 |
Any of the following two courses:
| Course Code | Course Name | Credits |
|---|---|---|
| COSC 4300 | Introduction to Artificial Intelligence | 3 |
| ITEC 4373 | Web Intelligence | 3 |
| COSC 4390 | Introduction to Deep Learning | 3 |
| ITEC 4375 | Social Media Mining | 3 |
Career Opportunities
Graduates with a B.Sc. in Computer Science with an emphasis on Data Science are well-prepared for a range of roles in data-centric fields, including:
- Data Scientist
- Data Analyst
- Machine Learning Engineer
- Business Intelligence Analyst
- Data Engineer
- Quantitative Analyst
Ready to take the next step?
Info
Duration: 4 years full-time
Semester Starts: Fall, Spring, Summer I and Summer II.
Fee: 12,124 OMR