Carleton University is a university in Ottawa, Canada. It was founded in 1942 and is known for its engineering and science programs. In this guide, we talk about Carleton University Computer Science Acceptance Rate, carleton university masters in computer science deadline, carleton university masters in computer science fees, carleton university masters in data science and carleton university graduate programs requirements.

If you’re thinking about applying to Carleton University, the first step is determining when admissions are offered. They can be found on the school’s website at carleton.ca/admissions/apply-now-undergraduate. Read on to know more about Carleton University Computer Science Acceptance Rate, carleton university masters in computer science deadline, carleton university masters in computer science fees, carleton university masters in data science and carleton university graduate programs requirements.

Once you’ve decided when to apply, you must fill out an application form and submit it with your transcripts from high school and any previous postsecondary education. There is also an essay portion of the application where you answer questions about yourself and why you want to attend Carleton University.

The next step is to complete a math placement test if you haven’t taken math since high school, or if your math skills have deteriorated since you graduated. This will determine which math course(s) would be most appropriate for your needs as an undergraduate student at Carleton University.

Finally, after completing all of these steps, students are notified of their acceptance status by email no later than March 31st for fall admission or October 1st for winter admission (unless otherwise noted).

Carleton University Computer Science Acceptance Rate

We begin with Carleton University Computer Science Acceptance Rate, then carleton university masters in computer science deadline, carleton university masters in computer science fees, carleton university masters in data science and carleton university graduate programs requirements.

Carleton University is a selective institution with an acceptance rate ranging from 20-30%. The average GPA of students at Carleton University is 3.7, and the average SAT score is approximately 1290.

The school has an undergraduate enrollment of about 6,000 students and offers over 150 undergraduate programs in subjects such as science and engineering, business, health sciences, liberal arts, fine arts and music.

Carleton University also has one of the highest scores for student satisfaction among Canadian universities according to Maclean’s Magazine.

carleton university masters in computer science deadline

Now we analyze carleton university masters in computer science deadline, carleton university masters in computer science fees, carleton university masters in data science and carleton university graduate programs requirements.

15-Jan-22Graduate Program Deadlines

Program	Term	International Deadline
Master of Computer Science	Fall	15-Jan-22
Master of Applied Science: Biomedical Engineering (COMP)	Fall	15-Jan-22
Master of Engineering: Biomedical (COMP)	Fall	15-Jan-22
Doctor of Philosophy: Computer Science	Fall	15-Jan-22

carleton university masters in computer science fees

More details coming up on carleton university masters in computer science fees, carleton university masters in data science and carleton university graduate programs requirements.

Want to learn how to code? Or maybe you just want to pick up some new skills, or brush up on some old ones?

Whatever your goal, Carleton University’s Masters in Computer Science program is the perfect place for you.

The courses are designed for people who already have a solid foundation in computer science and want to build on that knowledge. You’ll get hands-on experience with exciting new technologies like machine learning, data mining, and computer graphics. You’ll also develop the skills needed to work on complex problems in an interdisciplinary environment.

And if all that sounds good, but you’re worried about the cost? Don’t be! The cost of attendance at Carleton University is surprisingly affordable—especially when compared to other universities in Canada: $6,615 – $11,691 (Fall & Winter terms only). $15,033 – $22,979 (Fall & Winter terms only). Visit Student Accounts Receivable for complete fee details.

Fees components	Amount
Tuition & fees	INR 11,78,535

carleton university masters in data science

The Data Science and Analytics (DSA) master’s and PhD programs are a natural extension of the popular Collaborative Specialization in Data Science that was launched in 2015 which is offered jointly by several departments. Data Science is a field which has grown in huge leaps. The Collaborative Specialization is focused on interdisciplinary Data Science. In contrast, our full master’s and PhD programs are totally focused on the technical aspect of Data Science. The programs offer opportunities to undertake groundbreaking research in the field of data science and analytics from several directions such as statistics, AI methods and software engineering.

Data scientists and data analytics professionals focus on the collection, preprocessing, exploration, use and visualization of data, be it from sensors, transactional data, or other sources. Students will be exposed to the various methodologies that constitute these areas of DSA, and more.

One distinguishing feature of Carleton’s DSA program is that it is a joint program between the Faculty of Science and Faculty of Engineering and Design, spanning four academic units – thus, offering a wide disciplinary breadth, providing students with multiple perspectives.

The research areas that comprise the DSA include, but are not limited to:

• Data mining considering the algorithms that can be used to reveal patterns in complex data sets, which are then used to extract useable and relevant information.
• Statistical measures such as predictive analytics that use extracted data to gauge the likelihood of future events given history.
• Machine learning which is an application of artificial intelligence that permits the processing of vast quantities of data that exceed normal computing capacity and call for new approaches, to extract or learn useful algorithms and rules.
• Analysis of both stored and streaming data in the context of various systems and applications.
• Data analytics platforms and parallel processing techniques to improve the performance of data analysis.
• Software systems.

Students will be able to conduct advanced research in this field and will acquire the skills necessary to optimize the relevance, reliability and impact of their research.

Career Opportunities
In the workplace, alumni will be expected to synthesize and analyze complex data and communicate their findings to decision makers in a manner that is comprehensible, so that these individuals can take action. The DSA program will set them up for success with this skillset and future career opportunities in data science and analytics and related disciplines. They will be able to work in a team with individuals whose strengths lie in different areas of expertise and to communicate their findings to team members not trained in core data science.

Ottawa Advantage
Carleton’s location in Ottawa and long relationship with the city’s tech sector is positioned well to create a highly educated workforce of data science specialists.

Degrees Offered

MEng: coursework + project, and coursework only
MASc: coursework + thesis
MCS: coursework + thesis
MIT: coursework + project, coursework + thesis
MSc: coursework + thesis, and coursework + project
PhD: coursework, thesis

carleton university graduate programs requirements

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Minimum Requirements

While each program has its own minimum requirements, the following will give you a guideline to determine your eligibility to submit an application.

Master’s Programs

• 4-year (honours) bachelor’s degree
• B+ or better in your major subjects
• B- or better overall

Doctoral Programs

• Master’s degree
• B+ or better in your courses (including your thesis)
• No grade below a B-

Graduate Diplomas

• Contact the department offering the graduate diploma for minimum requirements.

Collaborative Programs

• Contact the participating academic unit or the collaborative program directly for minimum requirements.

International students can view the minimum requirement equivalencies from their country by visiting the international students section of our website.

Qualifying-Year Programs

If you do not have a 4-year honours degree you may be eligible for admittance into a qualifying-year program. Qualifying-year programs are specific to a small number of specific master’s programs. Even after completing a qualifying-year program, you will need to submit an application to the master’s program. Admission is not guaranteed.

If you are interested in completing a qualifying-year program, please contact the academic unit offering the master’s program to which you are interested in applying to see if a qualifying-year program is available and for further application instructions.

The program is designed for students who already have a strong base of understanding in the field of computer science, but who want to expand their knowledge beyond the introductory level. Students can expect to develop the skills they need to further pursue careers in computer science and related fields.

The program takes two years to complete and consists of 30 credits. Students may choose from a variety of courses that cover topics such as artificial intelligence, machine learning, robotics, software design and testing, and more. You’ll also have access to world-class faculty members who are experts in their field and will be able to help you achieve your academic goals.