Trent University
Trent MSBA Overview
Trent is one of the first universities in Canada to work to fill the training gap for professionals in data science. You will be uniquely prepared with the tools and techniques you require to work with and analyze today’s increasingly complex data sets in all areas of the sciences, as well as the business world. This professional program can be completed in 16 months and emphasizes practical skills in visualization, data mining, cloud-based approaches and parallel programming skills. Prepare for careers including Chief Data Officer, Data Scientist, Data Solutions Architect, Business Manager and Business Analyst.
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Trent MSBA Highlights
Rankings
Program options
Full-time
Intake
September only
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Financial Times’18Â Â Â Â Â Â Â Â Â Â Â Â Â – | |
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QS World Rankings ’19Â Â Â Â Â Â Â – | |
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The Economist               – |
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Program and Curriculum
Big Data courses are divided into modules of learning that provide a broad base of knowledge with in-depth analysis and skills development.

Foundations of Modelling​
Modelling process and basic types of models
Models from the natural and social sciences
Floating-point Representation and Model Validation
Mathematical Aspects of Modelling
Methods of modelling
Analytical modelling and computer simulation
Forecasting
Computational Aspects of Modelling
Principles in system modelling and simulations
Discrete-event system simulations
Simulation design
Statistical Aspects of Modelling
Statistical approaches to modelling
Applications of statistics
Univariate and multivariate procedures
Data Analytics with R
R programming language
Statistical analysis
Visualization techniques
Data Visualization
Tools and techniques for data visualization
Univariate and Multivariate visualizations
Spatial, graph, and time series data
High Performance Computing
Advanced computer architectures
Programming for shared and distributed memory machines
Performance evaluation and parallel algorithms
Big Data
Challenges and opportunities
Cloud-based approaches
Software tools
Data Mining
Data Types and preprocessing
Classification techniques
Clustering approaches
Introduction to Databases
Relational Model and Relational Algebra
Entity-relationship diagrams
Introduction to SQL
Employment
Trent is one of the first universities in Canada to work to fill the training gap for professionals in data science. Graduates of this program are uniquely prepared with the tools and techniques they require to work with and analyze today’s increasingly complex data sets in all areas of the sciences, as well as the business world. The program emphasizes practical skills in visualization, data mining, cloud-based approaches and parallel programming skills and prepares graduates for careers including:
- Chief Data Officer
- Data Scientist
- Data Solutions Architect
- Business Manager
- Business Analyst
Return on Investment (ROI)
Tuition Fees | Â Â $ 31,066 |
Cost of Living | + $ 18,698 |
Average Impact of Part-Time Jobs | –Â Â $ 11,200 |
Total Investment | Â Â $Â 38,564 |
Average Salary | Â Â $ 85,000 |
Amount Recovery (setting aside 25% of earning) | Â Â Â 1.8 years |

ENJOY OUR MEMBERSHIP BENEFITS
- KNOW YOUR PROFILE’S STRENGTHS AND WEAKNESSES
- PERSONALISED SCHOOL SUGGESTIONS (Dream, Competitive, Safe)
- ACCESS TO SAMPLE ESSAYS AND INTERVIEW QUESTIONS
Master of Science in Big Data Analytics: Class Profile
Average Age
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Class Size
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GRE Verbal
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GRE Quant
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Requirements
- B.A. or B.Sc. honours degree (a four year undergraduate bachelor’s degree)
- Minimum B+ (77%)
- A university course in differential and integral calculus, and one in probability and statistics or the equivalent
- Some familiarity with linear algebra, and be capable of programming at an elementary level in at least one computational language
- A course in either differential equations or advanced statistics is required, depending on whether the student’s area of research will be mathematics or statistics based
TUITION FEE
CAD 21,077/p.a
INTAKES
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Application Information
The application fees:Â $100Â CDN
Application Documents
- Transcripts
- 2 Letters of recommendation
- Proof of English language proficiency
- Personal statement
- Resume
Application Essays
1 Personal statement
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