Tuition Fee
Per course
Start Date
Medium of studying
Duration
Program Facts
Program Details
Degree
Bachelors
Major
Data Science
Area of study
Information and Communication Technologies
Timing
Full time
Course Language
English
Intakes
| Program start date | Application deadline |
| 2024-05-06 | - |
| 2024-07-02 | - |
| 2024-09-03 | - |
| 2024-11-04 | - |
About Program
Program Overview
Belmont University's Data Science Major equips students with analytical, problem-solving, and communication skills to analyze data and solve problems in diverse fields. Through interdisciplinary coursework and industry partnerships, the program emphasizes problem-based learning, data analysis, modeling, visualization, and ethical considerations. Graduates are prepared for careers as data analysts, scientists, and professionals in various industries.
Program Outline
Data Science Major at Belmont University
Degree Overview:
- Objective: Prepares students to analyze data and solve problems in diverse fields using strong analytical, problem-solving, and communication skills.
- Program Description:
- Interdisciplinary coursework in math, computer science, and statistics prepares students for careers in various industries.
- Partnered with leading companies to develop a robust curriculum that meets industry needs.
- Emphasizes problem-based learning using real data sets from various disciplines.
- Focuses on data analysis, modeling, data visualization, and effective communication.
Outline:
- Course Schedule:
- Year 1: Introduction to Data Science, Programming I & II, Elementary Statistics for the Sciences, Seminar in Data Science.
- Year 2: Calculus I & II, Statistical Computing, Database Systems.
- Year 3 & 4: Elective courses in data science and related fields, Data Science Project and Portfolio, Capstone Project.
- Modules:
- Data Collection and Exploration: Introduces methods for collecting and cleaning data from various sources.
- Data Analysis: Covers statistical analysis, data mining, and machine learning techniques.
- Data Ethics and Privacy: Discusses ethical considerations in data science and data privacy regulations.
- Domain-Specific Applications: Applies data science skills to specific industries like healthcare, finance, and marketing.
Assessment:
- Continual assessment through assignments, projects, and exams.
- Capstone project requiring the application of data science skills to a real-world problem.
- Potential for participation in research opportunities.
Teaching:
- Emphasis on hands-on learning and active engagement.
- Taught by experienced faculty with expertise in data science and related fields.
- Industry professionals contribute to the curriculum and offer guest lectures.
Careers:
- Data Analyst
- Business Analyst
- Business Intelligence Professional
- Data Engineer
- Data Scientist
- Program/Project Manager
- Statistician
Other:
- Opportunities for data science jobs and internships.
- Data scientist in residence program.
- Guaranteed intersectionality between technology, creativity, and education policy.
Additional Notes:
- The program requires 128 hours of coursework, including core requirements, major requirements, minor requirements, and general electives.
- Students can choose from various electives to specialize in specific areas of data science.
- Graduates are well-prepared for careers in various industries or further studies in data science.
- The program is designed to be dynamic and adapt to the evolving field of data science.
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Admission Requirements
Admission Requirements:
Academic Qualifications:
- Ontario Secondary School Diploma (OSSD) or equivalent: This includes achieving a minimum overall average of 65% in your final year of high school.
- For international students:
- Completion of a recognized high school diploma with a minimum overall average of 70%.
- Additional requirements may apply depending on the student's country of origin and previous academic qualifications.
English Language Proficiency:
- For non-native English speakers:
- Successful completion of TSoM EAP Level 3: This is an intensive English language program offered by Toronto School of Management.
- IELTS score of 5.0 or equivalent: This score indicates a moderate level of English proficiency.
- Passing the TSoM English Assessment: This assessment tests students' reading, writing, listening, and speaking skills in English.
Additional Considerations:
- Wonderlic Test: All applicants, regardless of their academic qualifications, must achieve a minimum score on the Wonderlic Test. This test measures cognitive ability and problem-solving skills.
- Age requirement: Applicants must be at least 18 years old at the time of application.
Please note:
- Specific admission requirements may vary slightly depending on the intake term.
Language Proficiency Requirements:
Following are the accepted language proficiency tests and scores:
Test:
|
- ------ | --------
IELTS:
| 5.0
TOEFL iBT:
| 60
PTE Academic:
| 50
CAE (Cambridge Advanced English):
| 169
CPE (Cambridge Proficiency English):
| 176
Duolingo English Test:
| 85
Note:
- The above-mentioned scores are the minimum requirements.
- The university may require higher scores depending on the program and the applicant's academic background.
- Applicants who have completed their education in a country where English is the official language of instruction may be exempt from submitting a language proficiency test score.
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