DigiPen Institute of Technology Singapore
DigiPen’s educational philosophy focuses on team projects and applied learning. Students are taught to be problem solvers and innovators through real-world projects, ultimately graduating as sought-after professionals in various digital domains such as games, enterprise software, virtual reality, finance, digital entertainment, automotive technology, and more.
DigiPen Institute of Technology Singapore
CPE Registration No: 200711322H
Latest Registration Period: 21 June 2018 to 20 June 2024
DigiPen (Singapore) is registered with CPE since 21 June 2011
MS in Computer Vision Overview
Computer vision is a dynamic field of study that allows computers to acquire, process, and analyze data from digital images or videos in real time. The rapid development of computer vision has had an immense impact on technologies such as autonomous vehicles, industrial robotics, data analytics, surveillance systems, and more. As the demand for scientists and engineers trained in this field grows, the Master of Science in Computer Vision will prepare you to thrive in this new age of technology.
In this program, you will build upon your foundation in mathematics and high-level programming and be given the opportunity to build your own computer vision technologies to solve real-world problems. By the time you complete the program, you will be fluent in tools and techniques that have multiple applications across industries such as manufacturing, medicine, big data, and security, just to name a few.
If you are excited to be a part of rapidly expanding research efforts and advancements in computer vision, the MS in Computer Vision program is for you.
Who Should Pursue This Degree?
This program is geared toward graduates who have a bachelor’s degree in computer science or a related field. It aims to bridge the knowledge gap between basic foundations in machine learning and industry-standard applications of computer vision by further advancing your understanding in mathematics and computer science principles. In addition, you will learn to design and develop your own computer vision software.
The Master of Science in Computer Vision degree program requires completion of at least 31 credits with a cumulative GPA of 3.0 or better.
Trimester 1 (Online Trimester)
- Mathematics Elements for Computer Vision
- Computer Vision
Trimester 2 (Online Trimester)
- Machine Learning and Pattern Recognition
- Video Processing
Trimester 3 (Face-to-Face Trimester)
- Convolutional Neural Network
- Deep Learning Models
- Capstone Project (Phase I)
Trimester 4 (Face-to-Face Trimester)
- Future Trends in Computer Vision (Seminar)
- Capstone Project (Phase II)
The modules in trimesters 1 and 2 are taught online, i.e., lecture contents are prerecorded in videos and published in the Moodle Learning Management System. In addition to prerecorded lectures, there will be weekly online interactions between students and the instructor to facilitate discussions of lecture contents, assignments, and tutorials. In addition, students will have an opportunity to interact and collaborate with other students. Recorded lectures and learning materials are published on the Moodle platform. Assessments including quizzes, exams and assignments are assessed online through Moodle. Online discussions and consultations are done through Microsoft Teams. The modules in the trimester 3 and 4 are taught like regular modules in the school. The students will have face-to-face lectures, quizzes and exams.
Graduates of this degree program can pursue advanced career choices and job opportunities in existing and emerging fields such as cyber-physical systems, social media analytics, industry 4.0, and medical imaging, where skills in computer vision are in great demand. Some potential careers include:
Computer Vision Engineer
Artificial Intelligence Programmer
Data Scientist (Image & Video Data)
Computer Vision R&D Engineer
Video Analytics Software Engineer
Computer Vision Scientist
Applicants will have to prepare the following items for submission as part of the application process.
- A relevant Bachelor’s degree in one of the following disciplines
- Computer Science
- Computer Engineering
- Mathematics or Statistics
- Any general engineering field, along with some experience in computer programming
- Personal Statement
- Provide a brief summary of why you are qualified to enroll in and will be successful in this graduate program.
- Two Letters of Recommendation
- Two letters of recommendation from individuals familiar with your academic background and/or work ethic (e.g., instructor, guidance counselor, employer)
- General GRE/GATE Exam Scores (If available)
- Proof of Proficiency in English Language (If applicable)
- This is needed if English is not the applicant’s first language.
For more information, visit: https://www.digipen.edu.sg/admissions/graduate-degree-programs/admissions-requirements/ms-in-computer-vision
The following tuition rates are for students enrolling for the 2023-24 academic year.
Total number of 31 Credits
2023 tuition fee: SGD1,219 per Credit (Inclusive of 8% GST)
2023 Application Fee: SGD 54 (Inclusive of 8% GST)
For more information, visit: https://www.digipen.edu.sg/admissions/graduate-degree-programs/tuition-and-fees