Computing - Computing Analytics Slippery Rock University

Overview

The Computing - Computing Analytics programme at Slippery Rock University provides students with a robust foundation in data science and technological innovation. This degree is specifically designed to meet the growing global demand for professionals who can interpret complex data streams to inform corporate strategy.

The curriculum focuses on the analytical skills increasingly requested by modern organisations. Students learn to use state-of-the-art technological advances to capture data, apply advanced analytics, and create visualisations for high-level planning. This approach ensures that graduates are ready to handle the data challenges of the current business landscape.

Why Computing - Computing Analytics at Slippery Rock University?

Slippery Rock University offers an up-to-date curriculum designed to evolve alongside the rapidly changing computing industry. The programme is accredited by the Computing Accreditation Commission of ABET, ensuring high academic standards and professional relevance. Students benefit from instruction by full-time faculty members holding Ph.D. credentials in their respective fields.

The department provides access to specialised equipment for robotics, parallel programming, and 3D visualisation. Students can work with advanced tools such as Raspberry Pi, Arduino, and various robotic systems. Furthermore, the university maintains a collaboration with the Pittsburgh Supercomputing centre, allowing students to use elite equipment for research and coursework.

Research opportunities are a cornerstone of the experience, with students frequently presenting at national and international conferences. The department also hosts an active advisory board of industry experts who provide feedback on the curriculum. This connection helps facilitate valuable internships and job opportunities for students throughout their studies.

Tuition Fee Breakdown

• International fee: USD 15988 per year
• National fee: USD 15988 per year
• Local fee: USD 7994 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum consists of core courses and specialised concentration modules. Modules may include:

• Computing Analytics
• Data Visualization
• Data Science
• Software Development
• Hardware Development
• Big Data Science
• Robotics
• Parallel Programming
• Cybersecurity

Careers with Computing - Computing Analytics

Graduates of this programme are well-prepared for a variety of roles within the data science and technology sectors. Many alumni secure positions as data analysts, data scientists, and business analysts. The analytical training also supports careers as data architects and data engineers in diverse industries.

Slippery Rock University graduates have found employment at prestigious organisations such as Microsoft, Philips, and the Pittsburgh Supercomputing Center. Other common career paths include roles as software engineers, technical consultants, and systems analysts. The programme provides the professional skills necessary to enter the industry immediately upon graduation.