Business Administration Major: Information Systems and Business Analytics Option (B.S.)

4 Years On Campus Bachelors Program

University of New Hampshire

Program Overview

The Business Administration major with an Information Systems and Business Analytics option at the University of New Hampshire combines business knowledge, technology, and data analytics to prepare students for the evolving world of business. Students learn how to use information systems, interpret business data, and make informed decisions, making this program a suitable choice for those interested in technology-driven business careers.

Curriculum Structure

Year 1 – Building Business Foundations

Students begin by developing a strong understanding of business principles, economics, and responsible management. Courses such as Introduction to Responsible Business Management, Principles of Economics (Macro), and First-Year Innovation and Research Experience I help students understand how businesses operate, how economic decisions affect organisations, and how to approach problems through research and innovation.

Year 2 – Developing Business and Technology Skills

Students strengthen their knowledge of accounting, management, information systems, and business analytics. Through Management Information Systems, Financial Accounting, and Business Analytics and Statistics, they learn how businesses manage information, understand financial performance, and use data to support better decisions.

Year 3 – Exploring Information Systems and Analytics

Students move into specialised subjects that develop their technical and analytical abilities. Courses such as Database Management, Programming for Business, and Data Visualization and Prescriptive Analytics help them understand how to organise business data, use programming in business applications, and turn complex information into meaningful insights.

Year 4 – Applying Knowledge to Business Challenges

In the final year, students bring together their business and technical knowledge to address practical organisational challenges. Through Corporate Project Experience, Predictive Analytics and Modeling, and Strategic Management: Decision Making, they develop skills in project collaboration, business forecasting, and strategic problem-solving.

Focus Areas

Information Systems, Business Analytics, Business Intelligence, Database Management, Data Visualization, Predictive Analytics, Programming for Business, Artificial Intelligence in Business, Strategic Management, Quantitative Decision Making, Technology Management, Data-Driven Decision-Making

Learning Outcomes

Business problem-solving, analytical reasoning, information systems management, data interpretation, business communication, teamwork, technology-enabled decision-making, database management, strategic thinking, application of analytics to organisational challenges.

Professional Alignment (Accreditation)

The Business Administration program at UNH's Peter T. Paul College of Business and Economics is accredited by the Association to Advance Collegiate Schools of Business (AACSB). This accreditation reflects the college's commitment to recognised standards of business education and continuous academic improvement.

Reputation (Employability & Career Preparation)

The program combines business education with practical training in information systems and analytics, helping students prepare for technology-focused roles across industries. Students can also explore an accelerated 4+1 pathway leading to a Master of Science in Business Analytics, subject to eligibility requirements.

Experiential Learning (Research, Projects, Internships etc.)

At the University of New Hampshire, students develop practical business and technical skills by learning how organisations use data, technology, and analytical tools to solve everyday challenges. The program combines specialised coursework with project-based learning, allowing students to apply classroom concepts to realistic business situations. Through collaborative projects and exposure to emerging technologies, students build confidence in analysing information, presenting solutions, and working with others.

Students can gain practical experience through the following opportunities:

  • Corporate Project Experience: Students work collaboratively on information systems or business analytics projects identified by sponsoring organisations, gaining experience in project planning, teamwork, and presenting solutions.

  • Database Management: Develop an understanding of how businesses organise, manage, and use information through database systems.

  • Programming for Business: Explore programming applications and how technical solutions support business operations.

  • Data Visualization and Prescriptive Analytics: Learn how to present data clearly and use analytical methods to support business decisions.

  • Predictive Analytics and Modeling: Develop skills in analysing data and identifying patterns that can support business planning.

  • AI and Emerging Technologies in Business: Explore how artificial intelligence and new technologies are changing business processes and decision-making.

  • Business in Practice: Connect business concepts with practical applications and understand how organisations create value.

  • Project Management and Presentations: Build experience in managing projects, collaborating with teams, and communicating business solutions.

Progression & Future Opportunities

The Information Systems and Business Analytics option prepares students for careers that combine business understanding, technology, and data-driven decision-making. Graduates can explore opportunities across sectors such as finance, consulting, technology, marketing, and operations, where organisations increasingly rely on analytical insights to improve performance.

Potential Career Roles

Business Intelligence Analyst, Data Analyst, Data Engineer, Data Scientist

Career Development & Graduate Outcomes

  • Career support: The university's career services provide career advising, employment preparation, and resources to help students explore opportunities and plan their professional journey.

  • Employment and salary information: The university does not publish a specific employment rate or average starting salary for this particular option. Therefore, program-specific figures should be recorded as NA unless officially verified.

  • Industry exposure: Through the Corporate Project Experience, students work on projects identified by sponsoring organisations, helping them understand real business requirements and develop practical problem-solving skills.

  • Accreditation value: AACSB accreditation of the Peter T. Paul College of Business and Economics reflects recognised standards in business education and supports the academic credibility of the degree.

  • Career opportunities: Graduates may explore roles in business intelligence, data analytics, database development, financial analysis, marketing analytics, operations analysis, project management, risk analysis, and systems analysis.

  • Further study opportunities: Eligible students can pursue the university's accelerated 4+1 pathway toward a Master of Science in Business Analytics.

Further Academic Progression: After completing the bachelor's degree, students may continue their education through postgraduate programs in Business Analytics, Information Systems, Data Analytics, Business Administration, Management Information Systems, or related fields. These qualifications can help graduates develop advanced analytical, managerial, and technical expertise for specialised career opportunities.

Program Key Stats

$19682
$40844
$40844
$65
RD, EA

Jan Intake : 15th OctAug Intake : 1st Feb (RD) , 1st Nov (EA / ED)


79%

Eligibility Criteria

BBC - BBB
3 - 3.7
28 - 34
70 - 80

1150 - 1350
30 - 34
6.5
90
Never Required
No

Additional Information & Requirements

How US Universities Assess Applicants

Career Options

  • Business Intelligence Analyst
  • Data Analyst
  • Data Engineer
  • Data Scientist
  • Business Systems Analyst
  • Database Developer
  • Financial Analyst
  • Marketing Analyst
  • Operations Analyst
  • Project Manager
  • Risk Analyst
  • Systems Analyst
  • Business Analytics Consultant
  • Predictive Analytics Analyst
  • IT Business Analyst

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