Program Overview
The Big Data at Simon Fraser University is a Master programme in Humanities over 24 months, delivered On-campus. This programme equips graduates with advanced knowledge and practical skills for professional and academic careers in the field.
Students gain a rigorous grounding in both the theoretical foundations and applied dimensions of humanities. The programme combines coursework, research components, and practical projects that develop critical thinking, problem-solving, and specialist expertise relevant to industry and research needs.
Graduates of the Big Data programme are well-prepared for careers in academia, industry, government, and the private sector across Canada and internationally. The programme provides an internationally recognised qualification within the Bologna higher education framework.
Key Program Features
- Duration: 24 months
- Language of instruction: English
- Study mode: On-campus
- English requirement: IELTS 7
- Tuition: USD 32,252 (Tuition (Full programme)) — International students; USD 27,050 (Tuition (Full programme)) — National students
- Location: Burnaby, Canada
Career Opportunities
Graduates of the Big Data programme are prepared for diverse careers in humanities:
- Researcher / Academic
- Cultural Programme Manager
- Editor / Writer
- Translator / Interpreter
- Museum Curator
- Communications Specialist
Program Curriculum
Course Structure
- Analysis of scalability of algorithms to big data.
- Data warehouses and online analytical processing.
- Efficient storage of big data including data streams.
- Scalable querying and reporting on massive data sets.
- Scalable and distributed hardware and software architectures.
- Software as a service. Cloud Computing (e.g. Amazon EC2, Google Compute Engine).
- Big data programming models: map-reduce, distributed databases, software for implementing streaming and sketching algorithms.
- Dealing with unstructured data such as images, text or biological sequences.
- Scalable machine learning methods such as online learning.
- Data mining: methods for learning descriptive and predictive models from data.
- Distributed algorithms over very large graphs and matrices.
- Social media analysis.
- Visualization methods and interactive data exploration.
Admission Requirements
Academic Requirements
Admission to the Special Arrangement Master\'s Program in Big Data is competitive: only the best-qualified applicants are offered a seat. Therefore, it is imperative that students familiarize themselves with the admission requirements in order to ensure they submit a strong application. Since conditional and qualifying admission offers are made rarely and only in exceptional cases, students who qualify for regular admission have higher chances of acceptance than those who only qualify for conditional or qualifying admission.
English Proficiency: IELTS 7 or equivalent.
Tuition & Financial Information
Tuition Fee
USD 32,252 (Tuition (Full programme)) — International students; USD 27,050 (Tuition (Full programme)) — National students
Tuition fees: USD 32,252 (Tuition (Full programme)) — International students; USD 27,050 (Tuition (Full programme)) — National students
IELTS requirement: 7
Financial Aid & Scholarships
Contact Simon Fraser University directly for scholarship, grant, and financial aid information for this programme. Many European universities offer merit-based and need-based funding for international and domestic students.
About Simon Fraser University
Simon Fraser University
Burnaby, Canada
Simon Fraser University is a distinguished institution of higher education committed to academic excellence, innovative research, and preparing students for leadership in their chosen fields. The...
University Profile- Language English
- Duration 24 months
