Business Data Science Bachelor of Science Degree (BS)

Not all programs are offered for completion at each campus or through Berkeley College Online®. Please review the academic program pages ( for information on where each program is offered. Additionally, all students may be required to take some courses at another campus or online. The Internship courses are only offered online.




Course Requirements 


BDS1100 Storytelling with Data 

3 Credits

Students are introduced to building and presenting compelling narratives and stories with data for multiple audiences through case studies, examples, and data visualization tool kits. The life cycle of a data science project is presented.  Various strategies and techniques for building visual analytics and stories are utilized for the purposes of enhanced social impact and decision-making. 

BDS2240 Programming for Computer Science and Data Science 

3 Credits

Students are provided with the skills to use Python programming for computer science and data science projects. Fundamental programming skills are emphasized.  Python is utilized to manipulate data in data science practice and applications. 

Prerequisite: BDS1100

BDS2260 Machine Learning

3 Credits

The theory and applications of machine learning concepts and algorithms are introduced.  Key topics in machine learning, including supervised and unsupervised learning algorithms, are covered.  Additional topics include linear models for regression and classification, decision trees, support vector machines and kernel methods, ensemble methods, and dimension reduction.  The machine learning algorithms are applied to solve problems with real data.  

Prerequisite: BDS2240

BDS3360 SQL and Managing Data

3 Credits

This course is designed to help students develop proficiency in database design and gain knowledge of SQL programming. Additionally, students will be introduced to NoSQL database systems optimized for big data analytics. This course will demonstrate how a relational database coupled with efficient programming can help data scientists to effectively manage data and deliver accurate and reliable results

Prerequisite: BDS2240

BDS4410 Data Security and Privacy

3 Credits

This course introduces students to the concepts, tools, trends, and technologies for data and application security. The focus will be on examining data and information security methodologies for the control, protection, and access as well as the preservation of the integrity of the data. Topics covered will include secure databases and distributed systems, privacy, confidentiality, and trust management, and cybersecurity

Prerequisite: BDS3360 SQL


BDS2210 Artificial Intelligence

3 Credits

Basic concepts, techniques, and a variety of applications of artificial intelligence are introduced. The processes and limits of human decision-making and learning in combination with AI systems are presented. This course includes hands-on exercises.  Teams of students create an AI-based application for the final project. 

ITM3330 Object-Oriented Programming

3 Credits

Provides an introduction to the principles of computer programming using a current programming language such as Visual Basic, NET, C++, or Java. This course is a beginning programming course and focuses on basic principles of object-oriented design

BDS4440 Advanced Programming for AI and Big Data

3 Credits

This course is designed to provide students with advanced machine learning and Python programming skills to learn today’s most compelling leading-edge computing technologies including AI, big data and cloud case studies on natural language processing, IBM Watson cognitive computing, machine learning, deep learning, computer vision, Hadoop, Spark and the internet of things.

Prerequisites: BDS2240 and BDS2260

BDS4450 Applied Deep Learning and Chatbots

3 Credits

Introduces the concepts and applications of deep learning and theories behind AI-powered Chatbots and the tools for building and implementing them.

Prerequisite: BDS2210


BUS2210 Business Intelligence and Analytics

3 Credits

The fast-growing field of business intelligence and analytics is introduced. Quantitative methods, analytical software, and data analysis are integrated to facilitate analysis and comprehension of contemporary business issues and problems. An emphasis is placed on critical thinking and quantitative reasoning skills.

ITM2260 IT Project Management

3 Credits

IT projects face unique challenges for all project team members, and most of all, for the project manager. This course is designed along the IT project management lifecycle. Topics entail the basic concepts of IT project management, including initiating, planning, controlling, executing, and closing projects. The course also shows students how IT projects should be managed, from inception to post-implementation review. Students will use Microsoft Project software.

ITM3313 Cloud Computing 

3 Credits

Introduces the underlying concepts of cloud models, virtualization, infrastructure, security, resource management, and business continuity. Emphasizes terminology and technologies in cloud environments and provides a general overview of the field of cloud computing in business and technology.

Prerequisite: ITM2210 or ITM2211 and BUS2210

BUS4420 Data Mining for Business Analytics

3 Credits

This course provides an overview of the fundamental principles and techniques of data mining for business analytics. Case studies will be utilized to place data mining techniques into context and to develop data-analytic thinking. Emphasis will be placed on real-world applications to illustrate that proper allocation of data mining is an art as well as a science. Analytics/data mining software will be utilized.

Prerequisites: BUS2210 and MAT2215, or MAT2218


ACC1111 Financial Accounting

3 Credits

Introduces the basic structure of accounting terminology and procedures of a business organization. Students learn about recording and reporting functions, adjusting entries and closing entries, the preparation of financial statements, accounting for merchandising operations, valuation of inventories, purpose and significant features of
internal controls, preparation of bank reconciliations and the valuation of receivables.  

CIS1115 Computer Applications 

3 Credits

It provides an introduction to computer technology with an emphasis on applications. Students learn to use the software, such as Microsoft Windows, Word, PowerPoint, and Excel.

CIS2201 Advanced Spreadsheet

3 Credits

Provides students with experience using spreadsheet applications, such as Microsoft Excel. Topics include building complex worksheets; importing and exporting data; using mathematical, financial, and statistical functions; developing macros; consolidating spreadsheets; creating templates; and utilizing “what if” analyses.

Prerequisites: CIS1115 

MKT3322 Digital Marketing 

3 Credits

Provides an in-depth study of online marketing strategies and tactics. Students will learn advanced concepts and tools of digital marketing and apply these new skills to make business decisions. Emphasis is on website optimization, display advertising, Search Engine Marketing, Search Engine Optimization, Social Media Marketing, and Mobile Marketing

Prerequisite: MKT 2220 and MKT2223 or BDS1100

BUS4430 CRM and Enterprise Systems

3 Credits

This course examines the software development life cycle and roles of enterprise systems. The topics covered include customer relationship management (CRM) systems, supply chain management (SCM) systems, enterprise resource planning (ERP) systems, and the process of automating an organization's relationships with its stakeholders. Students explore the role of CRM in transforming an organization and gain hands-on experience in using them.

Prerequisite: MKT3322 

IBS4420 Global Fintech: AI, Blockchain and Financial Modeling

3 Credits

This course introduces students to the key concepts, applications, and implications of innovations in financial technology (FinTech) such as artificial intelligence, blockchain, and financial modeling in the context of global business and finance. Students will explore how technological advances in data and analytics are enabling financial sector innovations. A special emphasis is placed blockchain, financial modeling, and algorithmic trading and investment strategies.

Prerequisite: FIN3302 


12 Credits


MAT2211 College Algebra

3 Credits

Introduces students to solving problems by using geometric and algebraic approaches. Topics include the Cartesian coordinate system, linear equations, absolute value, rational and exponential functions, systems of linear equations, linear inequalities, logarithms, and polynomials.

MAT2218 Probability Statistics and Applied Regression 

3 Credits

Introduces a collection of quantitative methods used to analyze data and inform management decisions. The topics that will be covered include describing and summarizing data, sampling and estimation, hypothesis testing, single variable linear regression, and multivariable regression. This course focuses on honing the understanding of key course concepts, managerial judgment, and ability to apply these concepts to real business problems.

MAT3301 Discrete Mathematics

3 Credits

Covers mathematical topics most directly related to the fields of information technology management and/or computer science. Topics include logic, relations, functions, basic set theory, graph theory, combinatorics, recursive functions, and Boolean algebra.

Prerequisite: MAT2211

MAT4440 Applications of Calculus 

3 Credits

Introduces students to differential and integral calculus, with an emphasis on applications. This course is intended for students in data science and business. Topics include modeling change using functions, the concept of the derivative, computing the derivative, applications of the derivative to business, and computer sciences, and an introduction to integration.

Prerequisite: MAT2211


ENG1105 Writing and Research

3 Credits

An introduction to expository writing through a comprehensive survey of forms of composition. Students are taught to use words with precision and strengthen their understanding and application of grammatical and rhetorical principles. Students are encouraged to appreciate and incorporate the principles of academic and professional writing.

ENG2205 Writing Through Literature

3 Credits

Further develop the writing, reading, and interpretive abilities introduced in ENG1105 through critical engagement with literary texts from a myriad of genres

Prerequisite: ENG1105

ENG2215 Public Speaking

3 Credits

Designed to help students improve oral communication skills. Emphasis is placed on identifying good and poor speech habits, techniques for improving speech, oral interpretation, effective speech planning and delivery, and interpersonal communication.

Prerequisite or Corequisite: ENG2205 

ENG3316 The Confident Writer 

3 Credits

Explores a wide variety of professional and creative writing modes, from personal profiles to blogging and beyond. Students build their reading, writing, and researching skills while reinforcing the fundamental concepts and current developments associated with the areas of their respective majors.

Prerequisite: ENG2205

ENG4400 Scientific and Technical Communications

3 Credits

Introduces students to the techniques of objective reporting on scientific and technical material. Topics covered include research techniques, information design, principles of technical exposition, effective use of graphics, study of language uses, preparation and presentation of oral reports, writing samples and principles of various technical reports including manuals, proposals, and abstracts.

Prerequisite: ENG2215, ENG3316


SOC1123 First Year Experience

3 Credits

Explores the challenges students most frequently face in pursuing and achieving a college degree. Students will identify their own perceived challenges, share critical insights to meeting them, and implement their own plan of action to address and overcome such challenges.

HUM2225 Introduction to Ethics 

3 credits

Introduces the study of ethics and moral philosophy, including its historical development, the major figures within that history, and ethical and moral issues that face us today. This course presents the perspectives of various schools of thought and encourages students’ own critical thinking on ethical and moral issues in dialogue with others.

SOC2231 Human Relations

3 Credits

Students will develop the interpersonal skills known to be key ingredients for successful everyday interactions with a focus on the challenges of workplace relationships involving coworkers, supervisors, and customers/clients. Some major skill areas covered in the course include making a good impression with your employer, managing conflict with difficult coworkers, working on a team with diverse groups of people, providing exceptional service for customers/clients, and managing on-the-job stressors.


Liberal Arts Elective                                                                                   15 Credits

Humanities Elective                                                                                     3 Credits 

Science Elective                                                                                           3 Credits

Social Science Elective                                                                                3 Credits

Business Elective*                                                                                       3 Credits


*Any courses in the Larry L. Luing School of Business.