Simon Fraser - MSc in Professional Computer Science (Big Data)

 

Situated atop Burnaby Mountain, Simon Fraser University (SFU) has established itself as one of Canada's premier academic institutions, revered for its research-intensive programs and innovative approach to education. Lauded as a "university of the future," SFU offers a world-class learning environment coupled with an inclusive, vibrant community, offering students an enriching and well-rounded academic experience. SFU is committed to promoting a culture of creativity and curiosity, and its Master of Science (MSc) in Professional Computer Science, specializing in Big Data, exemplifies this dedication.

The Program: Cultivating Data Professionals for the Future

 

The MSc in Professional Computer Science (Big Data) program at SFU equips students with profound insights into computer science, fostering the development of sophisticated data architects who can design innovative tools capable of deciphering value from today's data deluge. The program is devised with an industry-driven focus, encouraging students to become adept data scientists, solution architects, and chief data officers, whose strategic insights can revolutionize decision-making processes.

The program's curriculum is meticulously crafted and continuously refined through the insights of an advisory panel comprised of industry forerunners. By combining practical experience with theoretical knowledge, the program leverages SFU's highly regarded co-op program, where students grapple with real-life challenges, acquire valuable project management skills, and broaden their industry connections.

Curriculum Highlights

The MSc in Professional Computer Science (Big Data) program offers an extensive exploration of topics, including, but not limited to:

• Scalability of algorithms to big data and their analysis
• Data warehouses and online analytical processing
• Efficient storage techniques for big data and data streams
• Querying and reporting on massive data sets in a scalable manner
• Scalable and distributed hardware and software architectures
• Cloud Computing and Software as a Service (e.g., Amazon EC2, Google Compute Engine)
• Big data programming models such as map-reduce, distributed databases, and software for implementing streaming and sketching algorithms
• Dealing with unstructured data types, including images, text, and biological sequences
• Scalable machine learning methods like online learning
• Data mining techniques for generating descriptive and predictive data models
• Algorithms for handling vast graphs and matrices
• Social media analysis
• Interactive data exploration and visualization methods

The Big Data Hub: A Nucleus for Big Data Exploration

Students enrolled in the MSc in Professional Computer Science (Big Data) enjoy privileged access to SFU's Big Data Initiative through SFU’s Big Data Hub. Situated on the Burnaby campus, this state-of-the-art facility offers a unique space to explore and extract value from data. The hub features top-tier computer hardware and software, along with communal areas, encouraging collaborative learning while facilitating spontaneous discussions with instructors and teaching assistants.

The Big Data Hub serves as a vibrant community nexus for all things related to big data, offering hands-on training workshops, and hosting events with big data thought leaders. Students have the opportunity to engage in insightful conversations and approach big data challenges from multiple perspectives. To learn more about SFU's Big Data Hub, visit www.sfu.ca/big-data.

Simon Fraser University: A World-Class Academic Experience in Canada

Located in Canada, known globally for its high-quality education system and welcoming atmosphere, SFU presents international students with a unique blend of rigorous academics and engaging student life. The university offers a vibrant and diverse community, providing students with countless opportunities to engage in social activities, join clubs, and participate in student-led initiatives, ensuring a rich and fulfilling academic journey.

SFU's MSc in Professional Computer Science (Big Data) program not only provides students with a strong theoretical foundation but also equips them with practical, industry-relevant skills, enhancing their employability. The co-op program, in particular, serves as a bridge to the professional world, allowing students to establish a robust network and gain exposure to real-world scenarios, thereby preparing them for successful careers in the rapidly evolving field of big data.

In conclusion, the MSc in Professional Computer Science (Big Data) at SFU is not just a degree but an opportunity to explore and shape the future of data architecture. It offers students the chance to thrive in an increasingly data-driven world, making invaluable contributions to their field and society at large.

 Simon Fraser University - MSc in Professional Computer Science (Big Data)