Computer Science and Business Honors Program
The College of Business and the Computer Science and Engineering Department in the P.C. Rossin College of Engineering and Applied Science jointly offer the Computer Science and Business (CSB) Honors Program. The mission of the program is to provide rigorous computer science education integrated with in-depth business training that prepares high-achieving undergraduate students with diverse backgrounds for lifelong learning and to assume positions of leadership in the business community. This carefully crafted 136 credit-hour degree integrates technology skills in software development with a solid background in business and economics. Deep immersion in both of these areas distinguishes CSB from programs offered by other universities. At the same time, it is well balanced with approximately one third of the courses in liberal arts, one-third in computer science, and one-third in business.
All CSB students participate in the College of Business Student to Professional Co-curriculum. This program is designed to help students transition from a student to a young professional. They also receive training from the Lehigh Center for Career & Professional Development on technical skills which is integrated in the Computer Science course curriculum. These training combined with academics and experiential learning lead to our students being some of the highest paid upon graduation (see Success after Graduation under College of Business and PC Rossin College of Engineering & Applied Sciences).
After four years, the program leads to a degree in Computer Science and in Business, which is jointly awarded by the College of Business and the P.C. Rossin College of Engineering and Applied Science. Graduates of the program are ideal candidates for placement within public accounting firms, consulting companies, top software firms, and startup companies. This program provides students with the background needed to become the CIOs, decision makers, and general managers of information age corporations.
The CSB Honors Program is a rigorous program. Students may matriculate specifically into the program or apply to enter the program at a later point. Students interested in transferring into the CSB Honors Program after starting at Lehigh must demonstrate a cumulative 3.25 GPA, and must earn a B- or better in ECO 001 AND CSE 007 AND (MATH 021 OR MATH 031 OR MATH 076) and have satisfied all requirements to change their curriculum at Lehigh by the end of the Spring term in which they are applying: https://catalog.lehigh.edu/undergraduatestudies/curricularflexibility/
Applications are due between Jan. 1 and May 15 and can be obtained by contacting the Academic Advisor, Andrea Goff at ahg212@lehigh.edu. All transfer applications will be reviewed and considered at the end of May (once Spring grades are posted) and are dependent on space available in the program. Scheduled or anticipated Summer or Fall coursework cannot be used to satisfy these requirements.
Due to impacts on the graduation timeline, applications to join the CSB Honors Program are not recommended beyond a student's second year of study at Lehigh.
The CSB Honors Program is accredited in Business (AACSB International) and is accredited by the Computing Accreditation Commission of ABET.
The co-directors of the CSB Honors Program are George Witmer, Professor of Practice in the Department of Computer Science and Engineering (gsw2@lehigh.edu) and Burak Eskici (bue222@lehigh.edu), College of Business.
For additional information visit the CSB website or contact Andrea Goff, Academic Advisor at ahg212@lehigh.edu.
Mission for Program
The Computer Science and Business Honors Program's mission is to provide its students with a strong education in mathematics, science, business, and computer science fundamentals and to prepare them to be able to adapt to future changes in the practice of Computer Science.
Program Educational Objectives
Graduates of the Bachelor of Science in Computer Science and Business Honors Program will:
- Apply their education in computer science to the analysis and solution of emerging scientific, business, and societal problems.
- Develop approaches for ethical and social issues when solving future scientific, business, and societal problems.
- Continuously improve their leadership and communication skills in forming effective collaborative teams with cohesive team members.
- Engage in continued education in their field of expertise.
- Attain positions of expertise in their chosen field.
- Apply their training to problems where information technologies and business processes converge.
student outcomes
- Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions.
- Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program's discipline.
- Communicate effectively in a variety of professional contexts.
- Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
- Function effectively as a member or leader of a team engaged in activities appropriate to the program's discipline.
- Apply computer science theory and software development fundamentals to produce computing-based solutions.
Degree Requirements
The required courses for the CSB degree constitute the fundamentals of structured programming, discrete mathematics, algorithms, computer architecture, computer and information systems, programming languages, software engineering, accounting, finance, marketing, management, and economics. None of the program requirements for the CSB major may be taken pass/fail.
The requirements are stated below. To view a number of suggested sequences of courses for satisfying these requirements see Suggested Sequences of Courses.
| Required Computer Science courses | ||
| CSE 003 & CSE 004 | Introduction to Programming, Part A and Introduction to Programming, Part B | 4 |
| or CSE 007 | Introduction to Programming | |
| CSE 017 | Programming and Data Structures | 3 |
| CSE 109 | Systems Software | 4 |
| CSE 140 | Foundations of Discrete Structures and Algorithms | 3 |
| CSE 202 | Computer Organization and Architecture | 3 |
| CSE 216 | Software Engineering | 3 |
| CSE 241 | Database Systems and Applications | 3 |
| or CSE 341 | Database Systems, Algorithms, and Applications | |
| CSE 262 | Programming Languages | 3 |
| CSE 303 | Operating System Design | 3 |
| CSE 340 | Design and Analysis of Algorithms | 3 |
| CSE Elective from approved list 2 | 3 | |
| Required Business courses | ||
| BUS 001 | Foundations of Business | 1 |
| ACCT 151 | Introduction to Financial Accounting | 3 |
| ACCT 152 | Introduction to Managerial Accounting | 3 |
| ECO 001 | Principles of Economics | 4 |
| ECO 146 | Intermediate Microeconomic Analysis | 3 |
| or ECO 119 | Intermediate Macroeconomic Analysis | |
| FIN 125 | Introduction to Finance | 3 |
| LAW 201 | Legal Environment of Business | 3 |
| SCM 186 | Supply Chain Operations Management | 3 |
| MGT 043 | Organizational Behavior | 3 |
| MKT 111 | Principles of Marketing | 3 |
| MGT 301 | Strategic Management in a Global Environment Capstone | 3 |
| Required Math and Science courses | ||
| MATH 021 | Calculus I (or MATH 075 followed by MATH 076) | 4 |
| MATH 022 | Calculus II | 4 |
| MATH 205 | Linear Methods | 3 |
| MATH 231 | Probability and Statistics | 3 |
| or ECO 045 | Statistical Methods | |
| Natural science courses 1 | 12 | |
| Required CSB courses | ||
| CSB 310 | Product Development and Entrepreneurship in Technology | 3 |
| CSB 312 | Design of Integrated Business Applications I | 3 |
| CSB 313 | Design of Integrated Business Applications II | 3 |
| Required CSB electives | ||
| Courses approved by program co-directors | 9 | |
| Humanities and Social Science requirements | ||
| BUS 003 | Business Communication I | 1.5 |
| WRT 001 | Academic and Analytical Writing | 3 |
| BUS 203 | Business Communication II | 1.5 |
| CSE 252 | Computing Ethics | 3 |
| Humanities (HU) electives | 6 | |
| Social Sciences (SS) electives | 3 | |
| Free electives | 7 | |
| Total Credits | 136 | |
- 1
Such that one course has an attached laboratory and such that two courses are in a laboratory science with the first course a prerequisite to the second course. Note that there are some NS courses that, though in a laboratory science, do not include a laboratory; instead the "attached lab" has a separate course number. See Suggested Sequences of Natural Science Courses.
- 2
Computer Science & Business Electives approved list.
CSB Tracks
Students may choose to use their CSB professional electives to develop areas of concentrations or tracks from courses offered within the CSE department or CBE. In certain cases, the program co-directors may also approve courses from other departments. See some examples of CSB tracks. Note: that it is not required that a student complete a track, just that students fulfill the 9-credit professional elective requirement.
Computer Science & Business Electives
In addition to the CSB electives, students are required to take one Computer Science course from the follow
| CSE 160 | Introduction to Data Science | 3 |
| CSE 217 | Computer Science Projects | 3 |
| CSE 242 | Blockchain Algorithms and Systems | 3 |
| CSE 260 | Foundations of Robotics | 3 |
| CSE 264 | Web Systems Programming | 3 |
| CSE 265 | System and Network Administration | 3 |
| CSE 271 | Programming in Linux and Windows Operating Systems | 3 |
| CSE 302 | Compiler Design | 3 |
| CSE 307 | Structural Bioinformatics | 3 |
| CSE 308 | Genomics | 3 |
| CSE 310 | Assistive Technologies | 3 |
| CSE 313 | Computer Graphics | 3 |
| CSE 318 | Introduction to the Theory of Computation | 3 |
| CSE 320 | Biomedical Image Computing and Modeling | 3 |
| CSE 323 | Computer Vision | 3 |
| CSE 325 | Natural Language Processing | 3 |
| CSE 326 | Fundamentals of Machine Learning | 3 |
| CSE 327 | Artificial Intelligence Theory and Practice | 3 |
| CSE 331 | User Interface Systems and Techniques | 3 |
| CSE 333 | Methods for Understanding Human-Computer Interactions | 3 |
| CSE 335 | Topics on Intelligent Decision Support Systems | 3 |
| CSE 336 | Embedded Systems | 3 |
| CSE 337 | Reinforcement Learning | 3 |
| CSE 342 | Fundamentals of Internetworking | 3 |
| CSE 343 | Network Security | 3 |
| CSE 345 | WWW Search Engines | 3 |
| CSE 347 | Data Mining | 3 |
| CSE 348 | AI Game Programming | 3 |
| CSE 349 | Big Data Analytics | 3 |
| CSE 351 | Iterative Methods | 3 |
| CSE 360 | Introduction to Mobile Robotics | 3 |
| CSE 367 | Blockchain Projects | 0,3 |
| CSE 371 | Principles of Mobile Computing | 3 |
| CSE 375 | Principles of Practice of Parallel Computing | 3 |
| CSE 376 | Distributed Systems | 3 |
| CSE 392 | Independent Study | 1-3 |
| MATH/CSE 261 | Discrete Structures | 3 |
| Or other courses as approved by the program co-directors | ||
Suggested Sequences of Natural Science Courses
The following is an incomplete list of course sequences that satisfy the requirement: "two courses are in a laboratory science with the first course prerequisite to the second course." The exact set of courses depends on what each science department offers each semester.
Any course used for the science requirement must have an "NS" designation in the catalog (and there are some CHM, BIOS, and EES courses that are not "NS" but rather "ND", meaning "not designated"). The sum of all the NS-designated science credits must be at least 12.
We list here only courses that contribute to a prerequisite sequence. These sequences add up to between 7 and 9 credits. The remaining credits to reach a total of 12 may consist of any NS-designated courses.
| Astronomy Sequence | ||
| PHY 005 & ASTR 105 | Concepts In Physics and Introduction to Planetary Astronomy | 7 |
| PHY 010 & ASTR 105 | General Physics I and Introduction to Planetary Astronomy 2 | 3-7 |
| PHY 011 & ASTR 105 | Introductory Physics I and Introduction to Planetary Astronomy 2 | 3-7 |
| Biology Sequence | ||
| CHM 030 & BIOS 041 | Introduction to Chemical Principles and Introduction to Cellular and Molecular Biology | 7 |
| Chemistry Sequences | ||
| CHM 030 & CHM 031 | Introduction to Chemical Principles and Chemical Equilibria in Aqueous Systems | 8 |
| CHM 030 & CHM 110 | Introduction to Chemical Principles and Organic Chemistry I | 7 |
| CHM 030 & BIOS 041 | Introduction to Chemical Principles and Introduction to Cellular and Molecular Biology | 7 |
| CHM 040 & CHM 041 | Honors General Chemistry I and Honors General Chemistry II | 8 |
| CHM 040 & CHM 110 | Honors General Chemistry I and Organic Chemistry I 1 | 7 |
| CHM 040 & BIOS 041 | Honors General Chemistry I and Introduction to Cellular and Molecular Biology | 7 |
| Physics Sequences | ||
| PHY 011 & PHY 021 | Introductory Physics I and Introductory Physics II 2 | 8 |
| PHY 010 & PHY 013 | General Physics I and General Physics II 2 | 7 |
| PHY 011 & PHY 013 | Introductory Physics I and General Physics II 2 | 7 |
| Earth and Environmental Science Sequence | ||
| EES 021 & EES 022 & EES 131 | Dynamic Earth and Exploring Earth: A Natural Science Laboratory Course and Introduction to Rocks and Minerals | 8 |
| EES 025 & EES 022 & EES 152 | Observing and Studying Nature and Exploring Earth: A Natural Science Laboratory Course and Ecology | 8 |
| EES 028 & EES 022 & EES 152 | Conservation and Biodiversity and Exploring Earth: A Natural Science Laboratory Course and Ecology | 8 |
| EES 002 & EES 022 & EES 102 | Introduction to Environmental Science and Exploring Earth: A Natural Science Laboratory Course and Environmental Science and Sustainability | 8 |
Courses
CSB 242 Blockchain Concepts and Applications 0,3 Credits
Blockchain is the technology underlying Bitcoin, along with other digital currencies, and a data-management technology applicable broadly in finance, accounting, marketing, supply-chain, and "smart" contracts. It offers the ability to decentralize financial transactions, automate record keeping, and increase privacy. This course gives students the basis for understanding the technological foundations of blockchain and the business impact of blockchain.
Prerequisites: ECO 001 and (BIS 111 or CSE 003 or CSE 007 or CSE 012) and (CSE 017 or MKT 111 or FIN 125 or SCM 186)
CSB 310 Product Development and Entrepreneurship in Technology 3 Credits
This course integrates computer science and business concepts, focusing on product management, entrepreneurship, and startup methodologies. Students will work in teams to identify business problems, develop innovative software solutions, create business plans, and build proof-of-concept prototypes. Through case studies, hands-on projects, and real-world applications, students will gain practical experience in bringing a technology product from ideation to market-ready stage.
Prerequisites: (ACCT 108 or ACCT 152) and (CSE 241 or CSE 341)
Can be taken Concurrently: CSE 241, CSE 341
CSB 312 Design of Integrated Business Applications I 3 Credits
Industry-based business information systems design project. Information systems design methodology, user needs analysis, project feasibility analysis of design alternatives, and integrated product development methodology. Formal oral and written presentations to clients.
Prerequisites: CSB 310 and (CSE 241 or CSE 341) and CSE 216
Can be taken Concurrently: CSB 310
CSB 313 Design of Integrated Business Applications II 3 Credits
Integrated Product Development (IPD) Capstone Course II. This course extends the industry-based project initiated in CSB 312 into its implementation phase. Detailed design, in-house system construction and delivery, commercial software options, and systems maintenance and support. The practical component of the course is supplemented by several classroom-based modules dealing with topics that lie at the boundary of computer science and business. Formal, oral, and written presentations to clients.
Prerequisites: CSB 312
CSB 314 International Practicum 3 Credits
A faculty led, foreign-based activity to provide students the opportunity to work on consulting, assurance, or other IT–related projects with business organizations, consulting companies, and public accounting firms. Typical projects: systems analysis and design, systems configuration and implementation, database design, user interface design, and internal control assessment. Students complete written reports and make formal presentations to client firms.
CSB 389 Honors Project 1-12 Credits
CSB 392 Independent Study 1-3 Credits
An intensive study, with report, of a topic spanning both business and computer science that is not treated in any other courses.
Repeat Status: Course may be repeated.
CSB 442 Blockchain: Mathematical Foundations and Financial Applications 3 Credits
Technical and mathematical foundations of blockchain (algorithms, data structures, cryptography) with application to finance. Blockchain properties (immutability, irrefutability), security, consensus (proof-of-work, proof-of-stake, Byzantine consensus). Blockchain governance and trust models. Blockchain and finance: policy, regulation, compliance, systemic risk, relative power of nation-states, the role of central banks, economic justice. Broader impacts in such areas as foreign policy, surveillance and individual freedoms, non-financial applications. Smart contract coding and issues in blockchain software development. Lab experience interacting with a blockchain.
Prerequisites: MATH 021 and FIN 125 and (CSE 007 or CSE 012 or CSE 017)
