Adjunct Lecturer, Computer Information Systems (Pooled Posting)

With 31 full-time faculty, CIS is one of the largest information systems departments at a U.S. university. CIS offers three STEM-designated undergraduate majors and four minors, teaches courses every Bentley undergraduate takes, and supports graduate programs in business analytics, AI, and FinTech. The three majors are:

• Computer Information Systems, which prepares students for roles such as business analyst, systems analyst, application developer, and systems integrator

• Artificial Intelligence for Innovation, created jointly with the Philosophy Department, which combines technical AI skills with the ethical and societal questions AI raises

• Finance and Technology (FinTech), offered with the Finance Department, which applies programming, data management, and machine learning to financial services

The four minors are Computer Information Systems, Cybersecurity, Data Technologies, and Managing Digital Technologies. Because CS 100 is part of the foundation all Bentley undergraduates complete, and CS 305 is required of every business major, CIS adjuncts teach students from across the university. At the graduate level, CIS courses are part of the core of the MS in Business Analytics and the STEM MBA, make up most of the STEM MBA's Artificial Intelligence major, and contribute to the MS in Finance's FinTech major. Students also get support from the CIS Sandbox, the department's peer tutoring and technology learning space.

Teaching Areas

Adjunct assignments come from courses such as those listed below. In your cover letter, please name the specific courses you are prepared to teach. Full descriptions are available in the Bentley course catalog at catalog.bentley.edu.

Information technology foundations

• CS 100 Solving Business Problems with Information Technology (Excel, productivity tools, and emerging technologies)

Data and databases

• CS 150 Introduction to Data and Information Management; CS 160 Data-Driven Decision Making; CS 350 Database Management Systems

• Graduate: CS 605 Data Management and SQL for Analytics; CS 650 Data Analytics Architectures with Big Data; CS 753 Business Intelligence Methods and Technologies

Programming and application development

• CS 180 Programming Fundamentals (Java); CS 213 Web Development and Programming; CS 230 Introduction to Programming with Python; CS 280 Object-Oriented Application Development; CS 380 Multi-Tiered Application Development; CS 480 Advanced Application Development Technology

• Graduate: CS 602 Data-Driven Development with Python; CS 603 Algorithmic Thinking with Java; CS 612 Cloud-Based Enterprise Applications; CS 680 Mobile Application Development

Artificial intelligence and analytics

• CS 250 AI Foundations and Applications in Business; CS 370 Introduction to Machine Learning

• Graduate: CS 653 Generative AI for Business: Solutions and Strategies; CS 655 Managing with Analytics: From Data to AI; CS 690 Applied AI Intrapreneurship; CS 733 Artificial Intelligence Techniques and Applications; CS 747 AI Governance and Leadership

Cybersecurity and infrastructure

• CS 240 Business Processing and Communications Infrastructure; CS 341 Information Security and Computer Forensics; CS 342 Cybersecurity

• Graduate: CS 607 Cybersecurity; CS 725 Information Security, Controls and Ethics

Business processes, systems analysis, and enterprise systems

• CS 305 Business Processes and Systems; CS 330 Enterprise Systems Configuration for Business (SAP); CS 360 Business Systems Analysis and Modeling; CS 460 Applied Software Project Management

• Graduate: CS 620 Software Project Management; CS 741 Enterprise Systems Planning and Configuration (SAP)

Financial technology (with the Finance Department)

• FT 323 Introduction to FinTech; FT 324 Blockchain Applications and Decentralized Finance; FT 370 Investment Applications of Natural Language Processing

• Graduate: FT 723 Introduction to FinTech (currently listed as FI 723); FT 724 Blockchain Applications and Decentralized Finance

The department also offers experimental and special topics courses in emerging technologies from time to time.

Responsibilities

• Teach assigned sections consistent with the approved catalog description and course learning outcomes

• In coordinated multi-section courses, teach from the shared syllabus, assessments, and Brightspace course template, and participate in coordinator meetings

• Hold all class meetings and exams as scheduled in the academic calendar, starting and ending each class on time

• Post your syllabus in Brightspace before classes begin, provide timely feedback, keep the Brightspace gradebook current, and submit final grades by university deadlines

• Hold consistent, in-person office hours and respond promptly to inquiries from students, the department chair, and course coordinators

• Uphold Bentley's academic integrity policies and set clear expectations for student use of generative AI in your course

• Work with Student Accessibility Services to provide approved accommodations

• Contribute to assurance of learning assessment when your course is selected

• Encourage students to complete FLEX (Feedback on the Learning Experience) each semester, and use the results to strengthen your teaching

• Keep course examples current with professional practice

• Complete required university onboarding and training

Qualifications

Required

• A graduate degree related to the courses you will teach: a doctorate, or a master's degree in information systems, computer science, data science or analytics, cybersecurity, software engineering, or a closely related field. For FinTech courses, a graduate degree in finance or a related field combined with substantial technology experience is also appropriate.

• For candidates without a doctorate, professional experience in the subject you will teach that is significant in both duration and level of responsibility

• Ability to teach in person on Bentley's Waltham campus

• Ability to explain technical material clearly to business students

Preferred

• A doctorate in a related field

• College teaching experience with undergraduates or working graduate students, with evidence of teaching effectiveness

• Ability to teach several courses in the CIS catalog, and availability for daytime or evening sections

• Current professional certifications relevant to the teaching area, such as CISSP, CISM, CISA, CompTIA Security+, AWS or Microsoft Azure, PMP or Scrum, SAP, or CFA for FinTech courses

• Recent engagement in the field, such as related full-time work within the last five years, or consulting, continuing education, certifications, conference participation, presentations, or publications within the last three years

• Experience teaching or training adults in professional settings, such as corporate training or certification preparation

• Experience with Brightspace or another learning management system, and with hands-on, active learning such as labs, cases, and team projects

• Experience integrating generative AI tools responsibly into coursework and designing assessments that remain meaningful when students have access to AI

• A commitment to the success of all students, including first-generation and multilingual learners

A note on faculty qualifications: Bentley classifies its faculty under AACSB International's qualification standards. Adjunct lecturers typically qualify as Instructional Practitioners, which normally means a master's degree related to the teaching field, professional experience significant in both duration and level of responsibility, and continuing professional engagement in that field. Candidates holding a doctorate in a related field may instead qualify as Scholarly or Practice Academics.

Schedule and Format

Undergraduate CIS courses are taught in person on the Waltham campus and instructors must be available to teach during the day, Monday through Friday. Undergraduate courses may be scheduled in daytime or evening sections, while graduate courses are generally offered in a hybrid format. Some courses are also offered online. Assignments are made each semester based on enrollment and department needs, and the format, meeting times, and instructor expectations for each section are confirmed with the department before the term begins.

Course formats at Bentley

• In person: The class meets in a campus classroom at its scheduled times.
• Hybrid (HB): The class meets live at a scheduled time, typically once a week for 2 hours and 20 minutes, in a hybrid-equipped classroom, and each student chooses to attend in person or join remotely on Zoom.
• Synchronous online (SN): The entire course is online, and students attend live online class meetings at scheduled times.
• Asynchronous online (AL): The entire course is online with no scheduled class meetings. Students work through course materials in Brightspace on their own schedule, and some sections add optional live sessions.

Synchronous formats (in person, hybrid, and synchronous online) meet live at scheduled times; asynchronous formats have no scheduled meeting times.

How to Apply

Submit the following through the Bentley University careers site:

• A cover letter naming the specific courses (by course number) you are prepared to teach and your availability, including preferred semesters and day or evening sections

• A current CV or résumé listing degrees, professional experience, certifications, and any teaching experience

• Evidence of teaching effectiveness, if available, such as recent course evaluations, a sample syllabus, or a brief teaching statement

• Copies of graduate transcripts (unofficial copies are acceptable at this stage)

• Names and contact information for three professional references; references are contacted only for candidates moving forward

This is a pooled posting. Applications remain on file and are reviewed as teaching needs arise, and joining the pool does not guarantee an assignment. Questions about teaching areas may be sent to Art Ream at areamiii@bentley.edu

Salary Range:

Compensation for adjunct faculty is governed by the collective bargaining agreement between Bentley University and the Service Employees International Union (SEIU) Local 509.

For the 2025–26 academic year, adjunct faculty are compensated at a rate of $7,225.00 per course.

Courses with labs and other four-credit courses shall will be compensated at a higher minimum rate of $9,333.00 per course.

If you have questions about the salary grade range or need additional information, please contact us at GA_HR_Employment@bentley.edu.

Bentley University requires references checks and may conduct other pre-employment screening.

DIVERSITY STATEMENT

Bentley University strives to create a campus community that welcomes the exchange of ideas, and fosters a culture that values differences and views them as a strength in our community.

Bentley University is an Equal Opportunity Employer, building strength through diversity. The University is committed to building a community of talented students, faculty and staff who reflect the diversity of global business. We strongly encourage applications from persons from underrepresented groups, individuals with disabilities, covered veterans and those with diverse experiences and backgrounds.

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