CS

ts Information Technology

Subject

CS

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

bentleydownloads.s3.amazonaws.com

Pre-Req: CS 100 Not open to students who have completed CS 160

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-undergraduate

Source

bentleydownloads.s3.amazonaws.com

Select one of the following: 3

Subject

CS

Credits (min)

1

Credits (max)

1

Type

course

Edition

2026-2027-undergraduate

Source

bentleydownloads.s3.amazonaws.com

Pre-Req: CS 100

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-undergraduate

Source

bentleydownloads.s3.amazonaws.com

Pre-Req: CS 100

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-undergraduate

Source

bentleydownloads.s3.amazonaws.com

Pre-Req: CS 100

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-undergraduate

Source

bentleydownloads.s3.amazonaws.com

Subject

CS

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

bentleydownloads.s3.amazonaws.com

Pre-Req: CS 100 This course focuses on how organizations integrate artificial intelligence (AI) technologies into their business operations and functions to increase productivity and support strategic decision making. It introduces the fundamental concepts and mechanisms behind AI technologies and explores key techniques used in AI applications. This course also offers plenty of demonstrations of state-of-the-art AI technologies, allowing students to explore and gain experience with AI software and tools. Case studies and hands-on exercises are used to illustrate the use of AI in various business domains and motivate in-depth discussions about the limitations and ethical implications of AI and automation. Typically Offered: Fall and Spring

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-undergraduate

Source

bentleydownloads.s3.amazonaws.com

Pre-Req: CS 180

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-undergraduate

Source

bentleydownloads.s3.amazonaws.com

Experimental courses explore curriculum development, with specific content intended for evolution into a permanent course. A topic may be offered twice before it becomes a permanent course. Students may repeat experimental courses with a different topic for credit. Typically Offered: As needed

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-undergraduate

Source

bentleydownloads.s3.amazonaws.com

Experimental courses explore curriculum development with specific content intended for evolution into a permanent course. A topic may be offered twice before it becomes a permanent course. Students may repeat experimental courses with a different topic for credit. Typically Offered: As needed

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-undergraduate

Source

bentleydownloads.s3.amazonaws.com

Experimental courses explore curriculum development with specific content intended for evolution into a permanent course. A topic may be offered twice before it becomes a permanent course. Students may repeat experimental courses with a different topic for credit. Typically Offered: As needed

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-undergraduate

Source

bentleydownloads.s3.amazonaws.com

Pre-Req: ST 113 and at least 51 completed credits Formerly IPM 300 Businesses rely on the efficient and effective execution of business processes to ensure value creation and sustained profitability. Efficiency and effectiveness are often maximized through the digital transformation of business processes using business information systems, often resulting in a dynamic environment of changing roles, relationships, and metrics. Bentley graduates will encounter complex businesses processes entering the workforce and be required to utilize the rapidly changing digital toolsets on which businesses now rely to carry out these processes. This course will provide students with the technological literacy and a future-focused skillset to (1) recognize and participate in organizations’ digitally-driven processes, (2) formulate and solve quantitative problems to improve these processes, and (3) be nimble, self- directed learners who can use the technologies of today, and innovations of tomorrow, to ensure long-term success in a rapidly-changing digital landscape. Typically Offered: Fall and Spring 2026-2027-Undergraduate 185

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-undergraduate

Source

bentleydownloads.s3.amazonaws.com

Pre-Req: CS 305 Formerly IPM 320 Business intelligence provides applications and technologies used to gather, provide access to, and analyze information about company operations. Today's managers rely on decision support tools, which utilize the web and graphical user interfaces, for analysis. New tools support collaborative work, have embedded artificial intelligence and assign intelligent agents for routine work. This course will cover all facets of management support systems (MSS): business intelligence for enterprise decision support, decision support systems, expert systems, and knowledge- based systems. Cases are used throughout the course to exemplify concepts and provide students with analysis problems. Hands- on experimentation and testing will be done in Excel.

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-undergraduate

Source

bentleydownloads.s3.amazonaws.com

Subject

CS

Type

course

Edition

2026-2027

Source

bentleydownloads.s3.amazonaws.com

Pre-Req: CS 100 Formerly IPM 210 The security of electronically shared information is critical to organizational success. Increased connectivity is enabling to business, but is also enabling to unintentional entry of errors as well as intentional theft, modification and destruction of organizational data. This course will present an overview of information security management issues that must be addressed by organizations in today's ubiquitously networked environments. Specifically, the course will delve into information security risks and related protection of data, networks and application software. In addition, The course will cover computer forensics issues, including discussion on what organizations can do to collect evidence from various types of computer systems that might be employed to commit a crime, how to manage computer crime investigations, and how to preserve evidence from various platforms including mobile devices. Typically Offered: Fall

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-undergraduate

Source

bentleydownloads.s3.amazonaws.com

Pre-Req: CS 240 This course provides a technical focus on critical aspects of cybersecurity, namely information, computer, and network security. It introduces what cybersecurity means, both in the abstract and in the context of business information systems. Students learn relevant cybersecurity issues, technologies, and approaches found in the contemporary enterprise. Students recognize and understand threats to privacy, confidentiality, integrity, and service availability as well as bes practices to defend both digital and physical assets against such threats. Typically Offered: Fall and Spring

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-undergraduate

Source

bentleydownloads.s3.amazonaws.com

Pre-Req: CS 150 or CS 160 or (any MA course 200-level or higher)

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-undergraduate

Source

bentleydownloads.s3.amazonaws.com

Select one advanced CS elective: 3

Subject

CS

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027-undergraduate

Source

bentleydownloads.s3.amazonaws.com

3 EC 112 Principles of Macroeconomics 3

Subject

CS

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027-undergraduate

Source

bentleydownloads.s3.amazonaws.com

Pre-Req: (CS 150 or CS 160) and (CS 180 or CS 213) This class provides a hands-on introduction to a number of tools and technologies that are utilized to develop e-business applications and considers the impact of these technologies on e-business solutions. It assumes the student has basic proficiency in programming (e.g., JavaScript or Java) and basic Web-site use and introduces tools to develop dynamic, data-driven Web applications. The primary objective of t the course is to learn how to develop database driven web applications that enable businesses to interact with their customers, employees and suppliers. This will be a hands-on course and numerous programming assignments and related project work will be expected. Typically Offered: Fall

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-undergraduate

Source

bentleydownloads.s3.amazonaws.com

Experimental courses explore curriculum development, with specific content intended for evolution into a permanent course. A topic may be offered twice before it becomes a permanent course. Students may repeat experimental courses with a different topic for credit. Typically Offered: As needed

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-undergraduate

Source

bentleydownloads.s3.amazonaws.com

Permits superior students to study special topics. Allows repetition for credit. Typically Offered: Fall and Spring

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-undergraduate

Source

bentleydownloads.s3.amazonaws.com

Pre-Req: CS 213 or CS 180 Discusses current topics in computing based on readings in the professional literature, guest speakers, and field and individual research projects. Typically Offered: As needed

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-undergraduate

Source

bentleydownloads.s3.amazonaws.com

Pre-Req: Computer science major, any 300- or 400-level CS course, at least 66 completed credits, and internship coordinator permission Provides an opportunity to develop an extensive project relating computer systems concepts to a specific organization in combination with a work assignment. Involves both full-time employment with an organization and close work with a faculty member. Typically Offered: Fall and Spring

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-undergraduate

Source

bentleydownloads.s3.amazonaws.com

Pass/Fail option not available for this course. Bentley Global Experience (BGX) courses are 3-credit intensive study abroad experiences offered during semester breaks, usually 10 to 15 days in length during January break, Spring break (as part of a Spring semester course), or in May after exams. The professor leads his/her students on an immersive learning experience in a region of the world where the professor has expertise, offering students the opportunity to combine cultural activities with business, NGO, or other relevant site visits. Students benefit from personal interactions with companies and organizations they would not encounter as a tourist. The intensive format allows students to study abroad without missing a semester at Bentley. Please visit https://www.bentley.edu/offices/international-education to learn more. Typically Offered: As needed

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-undergraduate

Source

bentleydownloads.s3.amazonaws.com

Pre-Req: CS 360 Students learn and experience the process of information systems development through managing team dynamics and performing software engineering project management. Specific topics discussed include the value of different software development life cycles, project management tools and techniques, software process management practices and software quality management practices. This course fuses students' prior IT and business education, preparing them to launch their professional IT careers. Typically Offered: Spring

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-undergraduate

Source

bentleydownloads.s3.amazonaws.com

Pre-Req: CS 280

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-undergraduate

Source

bentleydownloads.s3.amazonaws.com

A one-credit field-based educational experience for Bentley graduate students, with the opportunity to (1) develop an understanding of computer information systems practices in todays organizations, (2) apply knowledge of computer information systems techniques in a real live setting, (3) develop skills associated with computer-based systems development, deployment and/or support, (4) and develop an understanding and appreciation of todays diverse business culture and values, including team-based performance norms, self-directed team work, and working in a diverse, global business environment. This internship option is available exclusively to Bentley graduate students who have a CS focus in their program of study (MSIT, MBA/ MSIT, MBA/IST). Students must work a minimum of 120 hours at an approved organization, complete a reflection paper, and coordinate their performance appraisal with their specified site supervisor. Typically Offered: Fall and Spring

Subject

CS

Credits (min)

1

Credits (max)

1

Credit unit

credit

Type

course

Edition

2026-2027-graduate

Source

bentleydownloads.s3.amazonaws.com

Programming Intensive Python is an easy to learn, widely versatile programming language whose extensive collection of external libraries makes it a popular choice for business analytics and visualization, data science, artificial intelligence, scientific and numeric computing, and many other applications. Its compatibility with leading analytics tools that are widely used in enterprises also places it in high demand. Students in this course will first learn the fundamentals of programming that are common to all programming languages. They will then work with Python libraries to perform common analytics tasks. No prior programming experience is required. Typically Offered: Fall and Spring

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-graduate

Source

bentleydownloads.s3.amazonaws.com

This course teaches programming using the Java language, which is widely used in business. By focusing on algorithm development, data structures, logical reasoning skills, and sound programming practices, students learn to analyze and tackle business programs with software solutions. Emphasis is placed on the importance of writing and thoroughly testing code that is well structured and runs efficiently. Students first gain a solid understanding of programming fundamentals before delving into higher-order concepts, including abstract data types. Practical hands-on exercises and assignments using a well-known, integrated development environment reinforce algorithmic thinking, programming, and debugging skills. No prior programming experience is required. Typically Offered: Fall 2026-2027-Graduate 59

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-graduate

Source

bentleydownloads.s3.amazonaws.com

3 (Instead of CS 350) 3 Option B: 6 3 CS 350 Database Management Systems

Subject

CS

Credits (min)

4

Credits (max)

4

Type

course

Edition

2026-2027-undergraduate

Source

bentleydownloads.s3.amazonaws.com

This course provides a technical focus on information, computer and network security, which together form the basis for securing enterprise systems and services. It introduces what cybersecurity means, both in the abstract and in the context of business information systems. Students learn relevant cybersecurity issues, technologies and approaches found in the contemporary enterprise. Students recognize and understand threats to privacy, confidentiality, integrity and service availability as well as best practices to defend both digital and physical , assets against such threats. Typically Offered: Fall and Spring

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-graduate

Source

bentleydownloads.s3.amazonaws.com

Pre-Req: CS 602 and CS 605 This course provides a hands-on introduction to several cloud based technologies and automation tools that are commonly utilized to develop enterprise applications. The course also considers the impact of these technologies in a business context. Students learn how to develop dynamic, data-driven enterprise applications that are continuously integrated and continuously delivered. These applications enable businesses to interact with their customers, employees, and suppliers, and provide online access to information that supports decision-making. Students enrolled in this course are expected to have basic proficiency in a programming language (Java or Python) and relational databases. Typically Offered: Every two or more years

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-graduate

Source

bentleydownloads.s3.amazonaws.com

Pre-Req: CS 605, CS 610, and (MSIT student with CS 603 or MSDI student with CS 602) This course provides the technical knowledge and skills for successfully managing and executing globally distributed software projects in agile and hybrid environments. Topics covered include proposal and contract management, requirements management, modeling, user experience, project planning, effort estimation, staffing, automation, status, and quality assurance. Students will learn the methods and tools that support these processes, develop a toolkit for creating a project plan for a distributed application, and engage in a project to improve these capabilities. Typically Offered: Every two or more years

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-graduate

Source

bentleydownloads.s3.amazonaws.com

Pre-Req: CS 602 and CS 605 The architecture of modern database systems for data analytics with big data are examined. This course provides a hands-on introduction to several architectures and approaches for data for analytics, including data from operational transactions, sensor data, web logs and social media sites. It explores the different types of data that make up the big data space, and applies capture and storage technologies appropriate for relational and non-relational models, such as clickstreams and user navigation of web sites. Data will be explored using Python-based tools for analytics and visualization. Students enrolled in this course are expected to have basic proficiency in the Python programming language and relational databases. Typically Offered: Every two or more years

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-graduate

Source

bentleydownloads.s3.amazonaws.com

Subject

CS

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

bentleydownloads.s3.amazonaws.com

Students who completed IPM 652 not eligible to take this course The course will provide a management-focused perspective on analytics, the role of data, and AI’s growing influence on analytics in businesses. There is an emphasis on business fundamentals for analytics professionals (and how analytics, data collection, and AI can be integrated into business processes), the value of analytics, data, and AI in organizations (including constraints and consequences such as those related to privacy, security, transparency, and ethics), and the practice of analytics (understanding and framing ill-defined business problems, exploring and visualizing problem-related data, identifying actionable insights, and communicating the results). The course will feature hands-on exercises with real-world data and analytics applications. Typically Offered: Fall and Spring

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-undergraduate

Source

bentleydownloads.s3.amazonaws.com

Pre-Req: CS 603 and (Pre- or Co-Req: CS 605) This course is an introduction to developing mobile applications, beginning with mobile operating system capabilities and application architecture and extending to major components, such as activities, services, broadcast receivers and others. Students learn how to develop interactive applications using widget libraries, web-based services, animation, an SQL database engine, and multithreading. Students in this course are expected to have proficiency in Java, website development an SQL queries. Typically Offered: Every two or more years

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-graduate

Source

bentleydownloads.s3.amazonaws.com

This applied course focuses on designing and delivering AI-enabled innovation within existing organizations. Rather than emphasizing innovation strategy, service design, or startup formation, the course prepares students to create or advance AI-driven improvements to products, services, and workflows under real organizational constraints. Working in cross functional teams, students integrate user discovery, AI feasibility, and business considerations to make informed decisions shaped by testing and sound judgment. The course emphasizes hands- on experimentation with modern AI patterns, including generative AI, through discovery research, behavioral evaluation, and no code/low code development. Students learn how to assess AI behavior, evaluate trade-offs, and communicate value and limitations to non-technical stakeholders. The semester culminates in a well-supported pitch and demo appropriate for internal decision makers. No coding experience is required. Typically Offered: Once a year

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-graduate

Source

bentleydownloads.s3.amazonaws.com

A Directed Study is designed for highly qualified students who, under the direction of a member of the sponsoring academic department, engage in an agreed-upon, in-depth, independent examination, investigation or analysis of a specialized topic. Typically Offered: Fall and Spring

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-graduate

Source

bentleydownloads.s3.amazonaws.com

This course affords students the opportunity to enhance self-realization and direction by integrating classroom study with experience in vocational learning situations. It requires development of a study plan to identify students' professional goals and to demonstrate how these goals can be furthered through an internship experience. This course includes regular meetings in which students discuss issues and business problems related to their work experience, and defend proposed solutions before fellow students and the internship coordinator. Typically Offered: Fall and Spring

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-graduate

Source

bentleydownloads.s3.amazonaws.com

Students who completed IPM 723 are not eligible for this course This course presents an overview of information security issues that must be addressed by organizations in today's ubiquitously networked environments. Specific coverage will include information security risks and related protection of data, networks and application software. While the primary focus is on how to protect organizational information assets, other topics will include strategic uses of security in business, the impact of security risk on various industries, as well as the security and privacy rights and responsibilities of end users and home computer operators. The course is designed to help students think critically about the local, national and global information security issues in our highly networked society. Typically Offered: Once a year

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-graduate

Source

bentleydownloads.s3.amazonaws.com

Subject

CS

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

bentleydownloads.s3.amazonaws.com

Subject

CS

Type

course

Edition

2026-2027

Source

bentleydownloads.s3.amazonaws.com

This course prepares students to navigate the complex intersection of AI innovation and organizational responsibility. As AI transforms every industry, organizations need executives who can balance breakthrough opportunities with ethical obligations, regulatory compliance, and stakeholder trust. Students will develop the strategic judgment to make high-stakes decisions about AI investments, risk tolerance, and governance structures. The curriculum spans technical foundations to boardroom strategy, teaching students to speak fluently with both data scientists and C-suite executives. Through analysis of major AI failures and responsible deployment successes, students develop frameworks for building competitive advantage through trustworthy AI. This course emphasizes risk-based governance, global regulatory regimes, organizational oversight structures, and stakeholder engagement. Typically Offered: Fall

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-graduate

Source

bentleydownloads.s3.amazonaws.com

Pre-Req: CS 605

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-graduate

Source

bentleydownloads.s3.amazonaws.com

Pre-Req: Varies by topic This course offers a structured opportunity for exploring new business applications of emerging hardware or software technologies. It requires active student participation in developing and presenting course materials. Typically Offered: As needed

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-graduate

Source

bentleydownloads.s3.amazonaws.com

Pre-Req: Varies by topic Experimental courses explore curriculum development, with specific content intended for evolution into a permanent course. Topics may be offered twice before it becomes a permanent course. Students may repeat experimental courses with a different topic for credit. Typically Offered: As needed

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-graduate

Source

bentleydownloads.s3.amazonaws.com

This course provides an opportunity for advanced MSIT students to exercise theory, knowledge and skills developed through the program, by serving as an information systems professional in a real employment environment. Through the internship coordinator, students solicit and respond to internship offers from commercial, governmental and nonprofit employers. Students maintain contact with the internship coordinator and critically analyze their work experience in a formal paper. Students have the option of making a presentation to the CIS community upon completing the internship, which normally spans one academic term. Typically Offered: Fall and Spring

Subject

CS

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027-graduate

Source

bentleydownloads.s3.amazonaws.com