Doctor of Philosophy in Data Science & Analytics
- Carleton University
- Data Science & Analytics
- Phd
- Computer & It
- Public
- Canada
The Master of Data Science, Analytics, & Artificial Intelligence at Carleton University is an advanced program that focuses on harnessing data and AI technologies to solve complex problems across industries. It covers data analysis, machine learning, and AI algorithms to extract insights from large datasets and automate decision-making processes. This program is crucial in the modern world, as data-driven solutions are essential for innovation in fields like healthcare, finance, and technology. By training professionals with expertise in AI and analytics, the program contributes to improving efficiency, enabling smarter decision-making, and driving advancements that transform industries and address global challenges.
| Category | Details |
|---|---|
| Time | Full time |
| Campus | Ottawa |
| Duration | 4 Years |
| Deadline-Date | 01-March, |
| Fee Per Year | $16,475.00 |
| Application Fee | 120 C$ |
| Currency | CAD$ |
| Intake Link | https://graduate.carleton.ca/apply-online/deadlines/graduate-program-deadlines/ |
| Deadline Link | https://graduate.carleton.ca/apply-online/deadlines/graduate-program-deadlines/ |
| Intakes | September |
| Program language requirement |
Who can Choose this program?
The Doctor of Philosophy (PhD) in Data Science & Analytics program is intended for people who are enthusiastic about performing original research in data science and analytics and have a solid academic background in subjects like computer science, mathematics, statistics, or engineering.
Additional Information
| Category | Details |
|---|---|
| Scope of the program | Advanced career prospects in academia, research, and high-level roles across industries like technology, healthcare, finance, and government are made possible by a Doctor of Philosophy (PhD) in Data Science & Analytics. Graduates can work in academia as researchers or professors at universities, where they can contribute to the creation of fresh hypotheses and techniques in the fields of data science and analytics. In the business sector, they might tackle challenging issues, including algorithm creation, extensive data analysis, and predictive modeling as lead data scientists, research scientists, or AI and machine learning professionals. In sectors where data-driven decision-making is essential, such as fintech, pharmaceuticals, and e-commerce, their experience is in high demand. In addition, PhD holders may take executive positions in data-driven innovation labs, research and development (R&D) departments, or as consultants offering views on cutting-edge. |
| Program entry requirement | MasterÂ’s degree equivalent: MasterÂ’s (if completed after a 4 or 5 year year Bachelor degree) Minimum requirement: First Class or First Division |
| Required GPA | N/A |
| GRE Required | N/A |
| GMAT Required | N/A |
| Application Process | 1. Register for an Online Application: To start your application, create an account on the university’s application portal. This will give you access to the online application form. 2. Start the Application Process: Once registered, start filling out the online application form. The process is simple. 3. Complete the Application Form: Fill out the form with proper and complete information about your academic background, personal details, and program preferences. This will help them to better understand your qualifications. 4. Upload Required Documents: Use the portal to submit the necessary documents online, which may include: • Official Transcripts: Submit official transcripts from any institutions you have attended. • Standardized Test Scores: If applicable, upload your English language test score reports. • CV or Resume: Provide an up-to-date CV or resume that highlights your educational and professional experience. • Statement of Purpose: Write a statement detailing your goals for the program, research interests, and reasons for applying. • Letters of Recommendation: Arrange for two recommenders to submit letters of recommendation through the portal, based on their knowledge of your academic capabilities. |
| Available Scholarships | https://studyabroadupdates.com/scholarships/ |
| Program accreditation | N/A |
| Living expenses | Student residences: 250 – 625 CAD/month. University-arranged homestays: 400 – 800 CAD/month. Rent & share an apartment: 300 – 700 CAD/month, prices for rent depend on location and facilities. If you choose to rent a studio/one-room apartment, you can pay over 1,000 CAD/month. |
| Visa Process Details | 1. Completed application form (IMM 1294). 2. Acceptance letter from the university. 3. Proof of funds showing you can cover your living expenses and tuition fees. 4. Bank statements. 5. Educational documents or evidence of sponsorship (if applicable). 6. Medical examination report from a doctor authorized by immigration. 7. Police clearance certificates from your country of birth and from any other countries where you have lived for six months or more in the past five years. 8. Passport-sized photographs. 9. Payment for the study permit application fee (currently 150 CAD). 10. Custodian Declaration (IMM 5646) (if applicable), required if you are a minor, must be signed by your custodian in Canada. |
| Part timework | You can only work 20 hours a week as a student with a study permit during a regular academic semester. During planned breaks, such as summer or winter holidays, you can work 40 hours a week. |
| Post-study work opportunity | Depending on the length of the course, a post-study work permit in Canada allows you to remain in the country after finishing your studies for a maximum of three years. After graduating, those who wish to pursue further education can apply for a visa and study in Canada. |
Frequently Asked Questions
