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Information Systems Minor

Gain the deep understanding of databases, programming for analytics and cybersecurity needed to keep you ahead.

Add to your education with the technical and business knowledge needed in today's world with a minor in Information Systems.

Program type:
Minor
Format:
On Campus
Est. time to complete:
1-2 years
Credit hours:
16
  • Requirements
  • How to Apply

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Why minor in Information Systems?

As an Information Systems minor, you'll build knowledge about databases, programming for data analytics, information security, web application development, and other technical areas that employers value. But because UND's Information Systems program is part of the Nistler College's Business & Public Administration, you may also study other business topics, including accounting information systems and data analytics, that provide the well-rounded background that employers increasingly hope to find.

What majors pair well with an Information Systems minor?

You'll complement any major by developing technology skills and learn to use data to support decision making that is relevant in every career. Alternatively, deepening your expertise with a bachelor’s degree in Information Systems can also be advantageous. Here are some bachelor’s degrees that pair well with a minor in Information Systems:

  • Accountancy Degree: This major would provide a strong foundation in accounting principles, which would complement your understanding of information systems, particularly in terms of financial data management.
  • Aviation Management Degree: Understanding information systems is crucial in managing various aspects of aviation businesses, including operations, logistics, and customer relations.
  • Business Economics Degree: Economics heavily relies on data analysis and information systems for research, forecasting, and decision-making, making it a complementary choice for your minor.
  • Computer Science Degree: This major directly aligns with your minor in Information Systems, offering a deeper understanding of software development, algorithms, and data structures.
  • Cyber Security Degree: Although cybersecurity is a focus within Information Systems, pairing it as a major with an Information Systems minor can deepen understanding of the broader context of information technology in business, beyond just security.
  • Entrepreneurship Degree: Entrepreneurs can benefit from an Information Systems minor by learning how to use technology to start and grow their businesses, manage online platforms, and understand e-commerce systems.
  • Finance Degree: Financial management relies on information systems for tasks such as budgeting, forecasting, and financial analysis, making this major a suitable pairing with your minor.
  • Management Degree: Management involves overseeing various organizational processes, where knowledge of information systems is vital for efficient decision-making, resource allocation, and strategic planning.
  • Marketing Degree: Marketing heavily utilizes information systems for market research, customer relationship management (CRM), and digital marketing strategies, making this major a good fit with your minor.
  • Supply Chain Management: This combination can prepare students to optimize supply chains through data analytics, inventory management systems, and understanding the technology behind logistics and distribution.

English Minor at UND

  • This program is accredited by AACSB International, the Association to Advance Collegiate Schools of Business. Accreditation by AACSB International puts the Nistler CoBPA in the top 5% of business schools in the world.

  • Expand your professional network through engagement with UND's Information Systems Club.

  • Internships and opportunities for experiential learning ensure you gain the skills needed to make an immediate contribution wherever you work.

Information Systems Minor Courses

ISBA 330. Database Management. 3 Credits.

This course covers the fundamentals of database design and management. Topics include, but not limited to, database models, database normalization, entity-relationship diagramming, SQL and database implementation and management. The course will provide a balance of theory and practical applications and will culminate in database implementation exercises conducted by students. F,S.

ISBA 430. Database Analytics. 3 Credits.

This course equips students with an understanding of techniques in data analytics with particular emphasis on unstructured data. Coverage includes, but not limited to, database analytics, PL/SQL, advanced SQL, business intelligence, unstructured big data analytics, Hadoop framework in business, data visualization, data warehousing, NoSQL, and in-memory database system. S.

ISBA 217. Fundamentals of Computer Information Systems. 3 Credits.

This course exposes students to the role information systems play in the business world with an introduction to information technology topics and data analytics. This experiential and application-oriented course develops spreadsheet, visualization, and database competencies relevant to business professionals. F,S,SS.

ISBA 370. Web Development. 3 Credits.

An introduction to web application development in a business environment. Students learn programming theory, fundamentals and practices in writing programs to meets business requirements, solve business problems, and address business opportunities in the desktop, mobile and/or lnternet/intranet environments. S.

ACCT 309. Accounting Information Systems. 3 Credits.

The application of systems design and use from the accountant's perspective. Coverage includes computerized and manual accounting systems, elements of internal control, flowcharting, and the interface of accounting and management information systems. Prerequisite: ACCT 301. F,S.

ACCT 413. Data Analytics Foundations in Accounting. 3 Credits.

This course will help students to gain an intuitive understanding of the concepts, advanced theories, and tools for data analytics. Students will learn a range of techniques starting with data exploring, linear regression, and progressing to deep networks. Students will also learn programing techniques including Python and R, to achieve the data analytics purpose. Specifically, students will learn coding techniques by using R programing to do data mining and Python programming to do different types of machine learning, along with visualization by R and power BI. The course will also cover integrating RPA (Robotic Process Automation) in accounting. F.

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