Master of Science [M.S] (Computer Science - Statistical Machine Learning)
8,874/Yr
Offered By:
- The University of Alberta offers a Master of Science in Computer Science-Statistical Machine Learning for a duration of 2 years (4 terms).
- This course is offered on a full-time and on-campus basis.
- It is a thesis-based program in which students are students are expected to write a thesis.
- The department provides two degrees for the program such as MSc and Ph.D.
- The Master of Science (MSc) and Doctor of Philosophy (Ph.D.) degrees in Statistical Machine Learning may be taken jointly in the Department of Computing Science and the Department of Mathematical and Statistical Sciences.
- The program provides an opportunity for the students to build strong foundations in probability theory and statistics.
- MSc thesis students are required to select a research area and name up to 3 professors as potential supervisors.
- The university consists of 50 tenure-track faculty members, 42 faculty lecturers, and 97 sessional lecturers.
- The UofA has a wide array of awards, scholarships, and prizes to assist in funding for graduate student’s studies.
- Students having specialization in machine learning may lead to work as a researcher in companies like Google, Yahoo, Amazon, or Netflix.
- The faculty have won multiple teaching and research awards at the local, provincial and national level, including the 3M Teaching Award, Fellow of the Royal Society of Canada, etc.
- Job opportunities in this program are Machine Learning Engineer, Data Scientist, NLP Scientist, etc.
- The average salary goes up to 26,250 USD after completing this program.
Tuition Fees
Year | 1st Year Fees |
---|---|
Tuition Fees | 8874 |
Other Expenses
Head | Avg Cost Per Year |
---|---|
Housing | 10800 |
Food | 2700 |
Health Insurance | 970 |
Books and supply | 1200 |
Total Cost | 15670 |
Previous Year Tuition Fees
Year | 1st Year Fees |
---|---|
2021 | 13972 |
Eligibility & Entry Requirement
Academic Eligibility:
- Applicants must have a four-year undergraduate degree or equivalent degree from a recognized university.
- Grade point average (GPA) of 3.0 out of 4.0 or better in the last two years of study
- Proof of English proficiency may be required for international applicants, whose first language is not English.
Indian Student Eligibility:
Indian students are eligible to apply if they meet one of the following eligibility criteria:
- Completed a 4-year UG degree (preferably Science or Engineering based) with first-class or a relevant field from a recognized institution.
- Completed a master's degree with first-class in a relevant field from a recognized institution.
- Students will need to submit school results for Class XI showing a competitive average and course registration for Class XII, or Class XII mid-year results.
- Students in CBSE or CISCE schools, present 75%+ on their final Class XII exams.
Submission of GRE scores is not required for this program, however, if students have taken the GRE then it is recommended to submit the GRE scores for a better chance of admission.
Along with the minimum eligibility requirements, international students hailing from non-English speaking countries need to prove English proficiency through IELTS/TOEFL/any equivalent test.
Scores Required
90 / 120
Avg. Score in
TOEFL
6.5 / 9
Avg. Score in
IELTS
61 / 90
Avg. Score in
PTE
310 / 340
Avg. Score in
GRE
125 / 160
Avg. Score in
Duolingo
3.0 / 4
Minimum gpa
GPA
Required Document List
Following are the required documents:
- CV/Resume: Outline of academic achievements and/or awards, publications, relevant work, and/or volunteer experience.
- Official Transcript: Submit copies of an official transcript from post-secondary institutions attended in PDF format.
- Official Degree Certificate: It provides proof of degree completion and must be an original copy issued by the institution with an official stamp or seal.
- Three Letters of Reference: The online application system will notify the references and allow the student to upload their letters. Letters can be academic or business references.
- Personal Statement: This is a short statement (approximately one page) that details why the applicant is pursuing graduate studies with this department, their research interests, and why they would be a suitable candidate.
- Statement of Intent: Reasons or intentions for pursuing studies in this program, including a description of prior experience.
- ELP Scores: Students have to submit their English language proficiency scores like IELTS, TOEFL or other test scores.
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Career and Placement after Course
Possible career opportunities are:
- Machine Learning Engineer
- Data Scientist
- NLP Scientist
- Business Intelligence Developer
- Human-Centered Machine Learning Designer.
Scholarship Grants & Financial Aids
Name | Scholarship Per Student | Level of Study | Type | |
---|---|---|---|---|
UAlberta Master's Entrance Scholarship | Scholarship per studentVariable Amount | Level Of StudyMaster | TypeCollege-Specific | |
Alberta Graduate Excellence Scholarship (AGES) | Scholarship per student 8,312/Yr$8,312 | Level Of StudyDoctorate | TypeCollege-Specific | |
Ontario Graduate Fellowship | Scholarship per student 8,459/Yr$8,459 | Level Of StudyDoctorate | TypeMerit-Based | |
Aga khan Foundation Scholarships | Scholarship per studentVariable Amount | Level Of StudyMaster | TypeMerit-Based | |
QS Scholarship for Academic Excellence | Scholarship per student 10,000/Yr$10,000 | Level Of StudyMaster | TypeMerit-Based | |
BrokerFish International student scholarship | Scholarship per student 1,000/Yr$1,000 | Level Of StudyBachelor | TypeMerit-Based |
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