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Program Description:

The Bachelor of Science in Data Science and Artificial Intelligence (B.Sc. DSAI) is a four year program which provides students with the applied knowledge and skills needed for exciting careers in the field of Data Science and Artificial Intelligence (DSAI). The program includes foundational information technology (IT) courses which, in combination with DSAI courses, will enable graduates to both understand and contribute to the information technology (IT) context in which data science and artificial intelligence (AI) associated functions are performed. Students develop skills to leverage AI in the collection, analysis and interpretation of data for decision making that can be applied in any field. This is supported by data science techniques offering students a solid understanding of data management strategies. These skill sets, when consolidated through the completion of an industry work placement and capstone project, prepare graduates for an exciting career in contemporary information technology, data science and AI.

Program Duration:

Four years

Admission Requirements:

1. High school graduation certificate or equivalent approved by the Ministry of Education and Higher Education with a minimum average of 60%, plus two courses: one final year Mathematics, and one final year Science (Biology, Physics, Chemistry) or Technology (Algorithms, Programming, Network, Computer Science, or equivalent);

OR

2. Two-year Information Technology Diploma from UDST, or equivalent;

OR

3. One-year Advanced Information Technology Diploma from UDST, or equivalent.
 

1. The required score on the University Math Test or a passing score from another approved internationally recognized English language test, as validated by the Admissions & Registration Department;

OR

2. A valid (within two years) IELTS Academic Test Report Form with an overall band of 5.0 with no individual band score (reading, writing, speaking, and listening) below 5.0;

OR

3. Successful completion of Foundation Program requirements.
 

1. Must achieve the required score on the University Math Placement Test;

OR

2. A valid SAT Report Form with minimum score of 480.
 

1. Admission is competitive. Eligible applicants are ranked based on their overall final year (Grade 12 or equivalent) high school percentage, placement tests rankings, and Admission Priority Category.

Study Plan:

COURSE
NUMBER
COURSE TITLE requisite HOURS/WEEK
PRE-req CO-req CR LEC LAB
SEMESTER 1
COMM1010 English Communication I     3 3 0
INFS1101 Intro to Computing & Problem Solving - - 3 2 3

MATH1030

Calculus I

MATH1020 OR Minimum score on UDST Math Placement Test - 3 3 0
Effective & Experiential Learning Elective: Select 1 of 2      

EFFL1001

Effective Learning

- - 3 3 0
EFFL1002 Applied & Experiential Learning - - 3 3 0
Semester 1 Total: 12 11 3
SEMESTER 2
COMM1020 English Communication II COMM1010 - 3 3 0
INFS1201 Computer Programming INFS1101 - 4 3 3
INFT1201 Computer Hardware -   4 3 3
MATH1040 Statistics - - 3 3 1
Semester 2 Total: 14 12 7
SEMESTER 3

INFS1301

Computing Ethics & Society

- - 3 3 0
Elective: Select 1 of 2

SCIE1001

Science & Its Applications

- - 3 3 0
SCIE1002 Science & the Environment - - 3 3 0
Semester 3 Total: 6 6 0
Year 1 Total: 32 29 10
COURSE
NUMBER
COURSE TITLE requisite HOURS/WEEK
PRE-req CO-req CR LEC LAB
SEMESTER 4
DACS2101 Discrete Structures INFS1101 - 3 2

3

INFS2101 Web Technologies I INFS1201 - 3 2 3
INFT2101 Networking I INFT1201 - 4 3 3
MATH1050 Linear Algebra - - 3 3 1
Semester 4 Total: 13 10 10
SEMESTER 5
DACS2201 Introduction to Data and Cyber Security INFT2101 - 3 2 3
DSAI2201 Introduction to Data Science & AI INFS1201 - 3 2 3
INFT2201 Introduction to Operating Systems

INFS1201  INFT1201

- 3 2 3
INFS2201 Database Management Systems INFS1101 - 3 2 3
Semester 5 Total: 12 8 12
SEMESTER 6
BUSG2002 Project Management - - 3 3 0
Social Sciences, Humanities & the Arts Elective – Select 1 of 6
SSHA1001 Islamic & Arab Civilization - - 3 3 0
SSHA1002 Introduction to Sociology - - 3 3 0
SSHA1003 Introductory Psychology - - 3 3 0
SSHA1004 Ethical Reasoning - - 3 3 0
SSHA1005 Law & Society - - 3 3 0
SSHA1006 Introduction to the Arts - - 3 3 0
Semester 6 Total: 6 6 0
Year 2 Total: 31 24 22
COURSE
NUMBER
COURSE TITLE requisite HOURS/WEEK
PRE-req co-req CR LEC LAB
SEMESTER 7
INFS3102 Object Oriented Programming INFS1201 - 3 2 3
INFS3104 Data Structures & Algorithms

INFS1201 & DACS2101
OR
INFS1201 & INFT2102

- 3 2 3
INFS3201 Web Technologies II INFS2101 - 3 2 3
Global Awareness & Regional Challenges Elective: Select 1 of 4      
ECON1001 Global Economic Concepts - - 3 3 0
GARC1001 Qatar History & Society - - 3 3 0
GARC2001 Human Development in Qatar - - 3 3 0
GARC2002 Globalization & Environment - - 3 3 0
Semester 7 Total: 12 9 9
SEMESTER 8
DSAI3201 Machine Learning INFS3102
MATH1030
MATH1050
- 3 2 3
DSAI3202 Parallel & Distributed Computing INFS3104 - 3 2 3
DSAI3203 Fundamentals of AI DACS2101 - 3 2 3
DSAI3204 IoT Application Development INFS3201 - 3 2 3
Semester 8 Total: 12 8 12
SEMESTER 9
DSAI3301 Data Analysis & Visualization DSAI2201
MATH1040
- 3 2 3
Global Awareness & Regional Challenges Elective: Select 1 of 4      
ECON1001 Global Economic Concepts - - 3 3 0
GARC1001 Qatar History & Society - - 3 3 0
GARC2001 Human Development in Qatar - - 3 3 0
GARC2002 Globalization & Environment - - 3 3 0
Semester 9 Total: 6 5 3
Year 3 Total: 30 22 24

 

COURSE
NUMBER
COURSE TITLE requisite HOURS/WEEK
PRE-req CO-req CR LEC LAB
SEMESTER 10
COMP4101 Practicum Min 80 Credits - 3 1 6
DSAI4101 Applied Deep Learning & Neural Network DSAI3201 - 3 2

3

DSAI4104 Fundamentals of IoT INFT2101 - 3 2 3
Elective: Select 1 of 2          
DSAI4102 Applied Data Mining

DSAI3201

- 3 2 3
DSAI4106 Embedded Systems & IoT INFT2101 - 3 2 3
Semester 10 Total: 12 7 15
SEMESTER 11
COMP4201 Capstone Project COMP4101 - 3 0 6
DSAI4103 Advanced Business Analytics MATH1040
DSAI3301
- 3 2 3
Elective: Select 2 of 4          
DACS4203 IoT & OT Hacking DACS2201
INFS3102
- 3 2 3
DSAI4201 Selected Topics in Data Science DSAI4101 - 3 2 3
DSAI4202 Information Retrieval DSAI3201 - 3 2 3
DSAI4205 Autonomous IoT DSAI3202 - 3 2 3
Semester 11 Total: 12 6 15
SEMESTER 12
COMP4301 Work Placement COMP4201 - 9 0 40
Semester 12 Total: 9 0 40
Year 4 Total: 33 13 70
B.Sc. DSAI Program Total: 126 88 126

 

 

 

Graduate Future Pathways:

Graduates of the Bachelor of Science in Data Science and Artificial Intelligence (B.Sc. DSAI) program may choose to further specialize or pursue graduate studies in their area.

Graduate Career Opportunities:

The Bachelor of Science in Data Science and Artificial Intelligence (B.Sc. DSAI) is an applied program with learning outcomes closely linked to the labor market. A wide range of career opportunities in the field currently exist, and include, but are not limited to, the following:

• Data Mining Analyst

• AI Architect

• Business Analyst

• Big Data Specialist

• New Media Storyteller

• Machine Learning Specialist

• Business Intelligence Developer

• Data Scientist

• Data Science Trainer

Program Contact

Anna Baul
CCIT – Administrative Assistant