BEng in Data Science and Engineering
Curriculum
The curriculum is built upon a fine combination of foundation courses in data science, computing, mathematics, statistics, and law, and is designed to provide students with advanced training in both theory and practice in Data Science and Engineering.
It is also unique in its emphasis on data privacy, ethical and legal issues for the data science profession, and privacy-preserving techniques. Students may also pursue a minor in a data-intensive field, thus bridging domain-specific knowledge with data science and engineering skills.
Summary of curriculum structure of BEng in Data Science and Engineering:
|
Course Categories |
No. of credits |
|---|---|
|
UG5 Requirements |
54 |
|
Engineering Core Courses |
24 |
|
Discipline Core Courses (Introductory) |
30 |
|
Discipline Core Courses (Advanced) |
18 |
|
Capstone Experience and Internship |
12 |
|
Discipline Elective Courses |
30 |
|
Elective Courses |
72 |
|
Total |
240 |