Department of Computer Information Science
Computer Information Science Programs
The Computer Information Science (CIS) Department offers the following programs
What our students say
An IBM report states that "2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone". It is no secret that the amount of data in our world has been exploding. The volume, velocity and variety of data, rightly called big data has created great challenges to organizations while also presenting potential value added opportunities.
"The promise of big data is that companies will have far more intelligence at their disposal to make accurate decisions and predictions on how their business is operating"- Marketingtechblog.com
Big data, by its diverse data sources, presents multiple perspectives and actionable business intelligence with real time, streaming data. The insights from big data offers competitive advantages and is driving companies to invest in big data analytics. With the exponential growth and explosion of data, the need for data analytics skills have also grown. A McKinsey study reports increasing demand for data scientists while there is a global shortage with analytics experts.
Recognizing the significance of Data Analytics and to prepare next generation data-driven leaders, Clarion University is offering a fully online graduate program. This program is geared towards working professionals or busy adults with domain knowledge in any undergraduate field. If you are a Data enthusiast and wish to explore datasets by applying technical and domain expertise, this program is for you. Students will take one online course at a time in a fairly rigid prerequisite structure to accumulate and apply the necessary skills. Course lengths will vary from three to fifteen weeks and will be sequenced. The program integrates computer and information science, statistics, and data-based business management principles to contribute to data driven business decisions.
It is an applied, technology intensive program focused on hands-on learning of the tools and techniques of data analytics. The curriculum emphasizes technical proficiency and applied practical experience and provides students with critical skills in database processing, data warehousing, data mining, predictive analytics and data visualization to solve Big Data problems. Students will have hands-on experience with database systems and analytics tools.
With a M.S Degree in Applied Data Analytics from Clarion University, you can play a critical role in deriving insights from large and complex datasets and contribute to intelligent business decisions.
After successfully completing this program, students will be able to:
- Design, implement, populate and query relational databases for operational data (OLTP)
- Design, implement, populate and query data warehouses for informational data (OLAP)
- Harness very large data sets to make business decisions
- Evaluate the use of data from acquisition through cleansing, warehousing, analytics, and visualization to the ultimate business decision
- Discern when to implement relational versus document oriented database structures
- Execute real-time analytical methods on streaming datasets to react quickly to customer needs
Students are required to complete 30 credits to earn the graduate degree. The course curriculum covers core courses, elective courses, and a capstone project or practicum.
- An undergraduate introductory statistics course such as ECON 221
- An undergraduate introductory computer programming course such as DA 202
- DA 510 Database Management Systems
- DA 520 Data Warehousing
- DA 530 Analytical Methods
- DA 540 Applied Data Mining
- DA 550 Predictive Analytics
- DA 560 Data Visualization
- DA 570 Big Data Analytics
- DA 580 Data Analytics Capstone
- CIS 570 Project Management
- Graduate Electives to total 30 credits.
* Courses are taken one at a time in sequence in an accelerated format.
- Course Sequencing
- Frequently Asked Questions
- Course Delivery: Fully Online
- Duration: 2 years (courses are taken one at a time in sequence)
- Degree requirements: 30 credits
- Course Descriptions
- Entry requirements: A baccalaureate degree in any undergraduate major with at least a 3.0 overall GPA. Additionally, one undergraduate statistics course and one computer programming course.. The minimum requirements are to demonstrate the students' quantitative and computer abilities. Proficiency using a computer and office productivity software are expected to successfully navigate and complete the program. Incoming students who may lack the required prerequisite courses can take the course(s) online from Clarion University before starting the Data Analytics core.
For more information, contact:
Dr. Jon ODonnell
Chair, CIS Department
Computer Information Science Careers
Jobs in information technology are ranked in the "Best Jobs in America" by Money Magazine year after year. An article from The Economist explored which degrees give the best financial returns and another article from Forbes Magazine listed the majors with the highest starting salaries.
Students graduate from our programs with a solid education and get good jobs with outstanding employers such as Raytheon, PNC Bank, Minitab, DataForma, Remote Database Experts, and Future POS. Graduates can also be found in successful positions in local schools, banks and small businesses, as well as government positions.
George Lewis Scholarship - These scholarships are made available to deserving students in computer science. The scholarship is renewable through four years, provided that students meet the required academic standards.
Elizabeth Ross AITP Scholarship - Annual scholarships are awarded to AITP members majoring in Computer Science or Information Systems. Selection is based on academic record and contribution to AITP.
CIS Department Scholarship - This scholarship is awarded annually to a computer science or information systems major based on academic excellence and participation in university and community activities.
Dr. Jon O'Donnell, Chair
+1 814 393 2320
Ms. Nancy Harriger, Secretary
+1 814 393 2442