BS Applied Technologies – Data Analytics – Modern College of Business and Science

BS Applied Technologies – Data Analytics

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 5-5.5 in IELTS or 65-79 in internet based TOEFL (iBT) are exempted from the English program.
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: 3 years full-time

Semester Starts: Fall, Spring, Summer I and Summer II.

Fee: 12,124 OMR

Required English Prerequisites

IELTS (academic): 6.0 (with no band less than 6.0)

TOEFL (internet) min overall score 60

MCBS Placement Test

Applicants who do not have official IELTS or TOEFL scores are required to take MCBS English Placement Test.

Students will need to go through Mathematics and IT placement tests to determine their levels of proficiency in these subjects as they are part of the GFP or possible exemption.

Department Contact

Contact Program Chair Dr. Joseph Mani for more information.