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Master of Science in
Information Science

Courses

As a student in this program, you will have the opportunity to master emerging theories and technologies in enterprise information systems. You'll also research and study solutions to transform enterprise systems to meet the needs of ever-changing business operations. To graduate, you must successfully complete a total of 33 course credits at the 400-, 500-, or 800-level, including:

  • at least 18 credits of required core courses
  • at least 12 credits of approved electives
  • three credits of INSC 594, an integrative research topics course, which includes a master's scholarly paper
Prescribed Core Courses (18 credits)
Title Abbreviation Description Credits
Business Process Management and Integration INSC 526

Design and development of business processes that align business objectives with Information Technology (IT) systems.

3 credits
Information Science Emerging Topics INSC 539 This course will explore various emerging theories and technologies in information science, including at least cloud computing, mobile application, Internet of things, blockchain, machine learning, and artificial intelligence. 3 credits
Web Security and Privacy INSC 561

A web-centric look at the latest techniques and practices in computer security as they apply to the internet. 
 

Prerequisite: CSE 453 or IST 815
3 credits
Contemporary Information Systems Architecture INSC 831 Investigate the evolution of information systems architecture and learn to employ contemporary information systems architecture to enhance IT support for business operations in organizations. 3 credits
Data Mining SWENG 545

Practical benefits of data mining will be presented; data warehousing, data cubes, and underlying algorithms used by data mining software.

Prerequisite: INSCI 521 or approval of instructor or department

3 credits
Enterprise Integration SWENG 568 Advances in design, development, and deployment of control and management software for enterprise and production information systems. 3 credits
Elective Courses (choose 12 credits)
Title Abbreviation Description Credits
Large-Scale Databases & Warehouses DAAN 825

Examination of large-scale data storage technologies including NoSQL database systems for loosely-structured data, and warehouses for dimensional data.

Prerequisite: INSC 521

3 credits
Analytics Programming in Python  DAAN 862

This course will explore the development of analytics systems and the application of best practices and established software design principles using the Python programming language and its several toolkits. 

Prerequisite: STAT 500

3 credits
Data Visualization for Analytics DAAN 871

This course provides a foundation in the principles, concepts, techniques, and tools for visualizing large data sets.

3 credits
Data-Driven Decision Making  DAAN 881

Application and interpretation of analytics for real-life decision making.

Prerequisite: STAT 500

3 credits
Enterprise Analytics Strategies DAAN 897 The course examines business intelligence in the era of big data. Emphasis is on the successful implementation of big data in large and small corporations that deliver extraordinary results.  3 credits
Foundations of Predictive Analytics  IE 575

Survey course on the key topics in predictive analytics.

Prerequisite: STAT 500

3 credits
Database Design Concepts INSC 521 The requirements capture, design, and development of relational database applications; analysis of business requirements and development of appropriate database systems. 3 credits
Network and Predictive Analytics for Socio-Technical Systems INSC 846 This course will employ several methods and measures from the area of social network analysis to study the interrelatedness of cyber-social and cyber-technical aspects of an organization or the society as a whole to detect and capture the dynamic patterns of group membership and structure. This type of analysis can be useful in uncovering potential threats and attacks and predicting criminal behavior and evolution of criminal networks. 3 credits
Computer and Cyber Forensics IST 454 Fundamental issues and concepts of computer forensics; aspects of computer and cyber crime; methods to uncover, protect, exploit, and document digital evidence; tools, techniques, and procedure to perform computer and cyber crime investigation. 3 credits
Network Management and Security IST 554 Essential skills and knowledge for effectively utilizing networks and Internet technologies to facilitate, manage, and secure data communications and applications. 3 credits
Crisis, Disaster, and Risk Management IST 564 This course examines the fundamental elements of crisis, disaster, risk, and emergency management. 3 credits
Cybersecurity Analytics IST 820 This course provides theoretical and applied foundations of fundamentals of network security, data sources, data collection techniques and tools, cybersecurity analytics infrastructure, machine learning and data mining, network forensics, anomaly and malware detection, security data visualization, and security dashboard design and implementation. 3 credits
Applied Statistics STAT 500 Descriptive statistics, hypothesis testing, power, estimation, confidence intervals, regression, one- and 2-way ANOVA, Chi-square tests, diagnostics. 3 credits
Capstone Course (3 credits)
Title Abbreviation Description Credits
Research Topics INSC 594 Supervised student activities on research projects identified on an individual or small-group basis, leading to M.S. scholarly papers. 3 credits
Nittany Lion Shrine

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