Bachelor of Science in Data Science Program

This program is Licensed by OSSE / HELC – Higher Education Licensure Commission. BAU’s program in Data Science integrates scientific methods from statistics, computer science and data-based business management to extract knowledge from data and drive decision making. The BA in Data Science curriculum provides students with a rigorous applications and practices a pathway for student internships and full-time employment. Its requirements include 60 core requirement credits, 21 core electives credits, and 39 general education credits. Graduates are prepared to meet the challenges at the intersection between big data, business analytics, and other emerging fields. This program will prepare students for such job positions as Data analyst, Data science/analytics manager, Database administrator, Database administrator, Big data engineer, Data mining engineer, Machine learning engineer, Data architect, Hadoop engineer, Data warehouse architect, Commercial intelligence manager, Competitive intelligence analyst, Consultant, strategic business and technology intelligence, Manager of market intelligence, Director of enterprise strategy, and Director of global intelligence.

Program Learning Goals

To meet the growing demand for high-level information systems/science skills

To provide a path for individuals from diverse fields to rapidly transition to data science careers.

Enable established IT and computing professionals to upgrade technical management and development skills.

Prepare graduates to apply data science techniques for knowledge discovery and dissemination to assist researchers or decision-makers in achieving organizational objectives.

Create innovators, entrepreneurs, and business professionals who will lead the development of next generation information systems.

Graduation Requirements

The BA degree in Data Science is earned by completing the program course requirements of 120 credit hours. Of these credit hours, 60 credits are core courses, 39 general education credits, and 21 core elective credits. Students must meet their core requirements as well as their general education requirements. In addition, students must meet the following criteria:

Students enrolled in the undergraduate program must maintain a Cumulative Grade Point Average (CGPA) of at least 2.0 out of 4.0 to qualify for the BA degree, to remain in good standing, and to graduate.

The Maximum Time Frame (MTF) for completion of the BA program is 180 credits.

An undergraduate student may transfer up to 60 credit hours earned at accredited institutions.

No degree credit is received by an undergraduate for any failing grade (a grade less than D, or 1.00 out of 4.00 grade points).

Data Science Program Requirements

Students have a wide range of courses to choose from throughout their four years of study. To view a full listing of available courses, please see the sections below:

Code Course Prerequisite Credits
BUSN/INTL 240 Law & Ethics U 101 3
CMPS 122 Introduction to Java I CMPS 110 3
CMPS 202 Data Structures and Algorithms I CMPS 110 3
CMPS 205 Data Structures and Algorithms II CMPS 202 3
CMPS 211 Computer Networks CMPS 110 3
CMPS 222 Java II CMPS 122 3
CMPS 226 Programming in C MATH 110 3
CMPS 230 Information Visualization CMPS 110 3
CMPS 318 Database Management Systems CMPS 202 3
CMPS 322 Machine Learning and Pattern Recognition CMPS 226 3
CMPS 337 Introduction to Data Science CMPS 205 3
CMPS 438 Computer Security CMPS 211 3
ISIT 112 Introduction to Information Technology CMPS 110 3
ISIT 224 Information Systems Analysis and Design CMPS 110 3
MATH 110 Introduction to Business Statistics MATH 104 3
MATH 128 Linear Algebra MATH 110 3
MATH 131 Calculus I MATH 104 3
MATH 132 Calculus II MATH 131 3
MATH 140 Discrete Mathematics MATH 110 3
MATH 212 Numerical Analysis MATH 140 3
Code Course Prerequisite Credits
CMPS 315 Operating Systems ISIT 224 3
CMPS 332 Analysis of Algorithms CMPS 205 3
CMPS 410 Introduction to Artificial Intelligence CMPS 322 3
CMPS 426 Bioinformatics CMPS 318 3
CMPS 433 Game Programming CMPS 322 3
CMPS 477 Image Processing CMPS 318 3
CMPS 480 Big Data CMPS 318 3
ISIT 328 Data Warehouse Design CMPS 202 3
ISIT 350 Advanced Web Application Design ISIT 224 3
ISIT 355 Advanced Mobile Application Development CMPS 226 3
ISIT 362 Social Network Analysis ISIT 224 3
ISIT 370 Agile Project Management MGMT 200 3
MGMT 200 Introduction to Project Management *CMPS 110 3
Course Title & Code Course Name Prerequisites Credit
General Education Courses: Humanities (five courses)      
To complete the Humanities requirement, students must take one writing course (marked “WR”), one literature course (marked “LT”), two modern language courses (marked “ML”), and any one additional course listed below.      
ENGL 122 (WR) English Composition II A moderate score on the BAU English exam or ENGL 121 3
ENGL 123 (WR) Academic Writing A high score on the BAU English exam or ENGL 122 3
ENGL 222 (LT) Five American Novels ENGL 122 or ENGL 123 3
ENGL 235 (LT) African-American Literature ENGL 122 or ENGL 123 3
ENGL 237 (LT) Asian-American Literature ENGL 122 or ENGL 123 3
ENGL 251 (LT) Persian Literature, From Epic Poetry to the Graphic Novel ENGL 122 or ENGL 123 3
FREN 101 (ML) Elementary French I    3
FREN 121 (ML) Elementary French II FREN 101 or permission of instructor 3
SPAN 101 (ML) Elementary Spanish I    3
SPAN 121 (ML) Elementary Spanish II SPAN 101 or permission of instructor 3
GERM 101 (ML) Elementary German I    3
GERM 121 (ML) Elementary German II GERM 101 or permission of instructor 3
TURK 101 (ML) Elementary Turkish I  
TURK 121 (ML) Elementary Turkish II TURK 101 or permission of instructor 3
PHIL 105 Introduction to Philosophy    3
PHIL 108 Moral Dilemmas and Social Ethics    3
Course Title & Code Course Name Prerequisites Credit
General Education: Mathematics and the Sciences (three courses)      
To complete the Mathematics and the Sciences requirement, students must take a total of three courses. At least one must be a quantitative reasoning course (marked “QR”) and at least one must be a natural science course (marked “NS”). The third course may either be marked “QR” or “NS.”      
ENVS 105 (NS) Introduction to Environmental Science 3  
ENVS 110 (NS) Geology and the Environment  
ENVS 115 (NS) Aquatic Systems  
MATH 103 (QR) College Mathematics  
MATH 110 (QR) Introductory Statistics  
MATH 132 (QR) Calculus I    3
MATH 132 (QR) Calculus II MATH 131 3
Course Title & Code Course Name Prerequisites Credit
General Education Courses: Social Sciences (five courses)      
To complete the Social Sciences requirement, students must take five courses. Two must be history courses (marked “HS”), including one of the following non-Western or transregional courses:  HIST 168, or HIST 169. One course must be related to human behavior (marked “HB”). Finally, students must choose two courses from the following: ENVS 231, any course marked INTL, or any course marked POLS.      
ANTH 101 (HB) Introduction to Cultural Anthropology   3
ENVS 231 Environmentally Sustainable Development   3
ECON 221 Intermediate Microeconomics   3
ECON 222 Intermediate Macroeconomics   3
ECON 315 Political Economy   3
ECON 371 The Development of Economic Thought   3
ECON 432 Money and Markets   3
ECON 437 Econometrics   3
ECON 456 International Financial Crises   3
ECON 473 Keynes vs. Friedman   3
HIST 162 (HS) Europe and the Mediterranean World, Antiquity to 1400 CE   3
HIST 164 (HS) European History, 1400 to Present   3
HIST 168 (HS) The Islamic Middle East, 622-1258 CE   3
HIST 169 (HS) Asian History, 1550-1950   3
INTL 161 Diplomatic History   3
INTL 253 International Organizations INTL 161 3
INTL 257 International Relations INTL 161 3
INTL 271 Gender, Development & Globalization INTL 161 3
INTL 350 The Government and Politics of Britain INTL 161 3
INTL 351 The Politics of the Middle East INTL 161 3
INTL 352 The Politics of India and Pakistan INTL 161 3
INTL 353 The Government and Politics of China INTL 161 3
INTL 354 International Development and Emerging Markets INTL 161 3
INTL 355 Latin American Politics INTL 161 3
INTL 356 Politics and Society in Present-Day Russia INTL 161 3
INTL 359 The European Union INTL 161 3
INTL 451 World Politics and World Order INTL 161 3
INTL 458 Introduction to International Human Rights INTL 161 3
INTL 459 International Security INTL 161 3
POLS 101 An Introduction to Politics and Political Science   3
POLS 105 Writing and Editing the News   3
POLS 115 Political Ideologies   3
POLS 121 Government and Politics of the United States   3
POLS 227 Media Ethics POLS 101 3
POLS 251 Comparative Politics of Industrialized Societies POLS 101 3
POLS 252 Comparative Politics of Transitional Societies POLS 101 3
POLS 321 Political Parties in America POLS 101 3
POLS 359 The Spreading of Democracy POLS 101 3
POLS 363 Ancient, Medieval, and Renaissance Political Thought INTL 161 3
POLS 373 Modern Political Thought POLS 101 3
PSYC 101 (HB) Introduction to Psychology   3
SOCI 101 (HB) Introduction to Sociology   3
SOCI 221 (HB) Social Class, Gender & Inequality   3
Course Title & Code Course Name Prerequisites Credit
Pure Electives      
Students must complete six courses of pure electives. They may choose from courses in the list below or any other course listed in the course catalog.      
ACCT 315 Accounting Information Systems ACCT 212, MATH 225 3
ACCT 417 Federal Income Tax Accounting ACCT 315 3
ACCT 432 Accounting for Not-for-Profits and for Governments ACCT 322 3
ACCT 435 Accounting Decision Making and Control ACCT 212 3
ACCT 437 Auditing ACCT 112, ACCT 322 3
ACCT 452 International Accounting and Financial Reporting ACCT 322 3
CMPS 122 Introduction to Java I CMPS 110 or permission of instructor 3
CMPS 222 Java II CMPS 122 or permission of instructor 3
CMPS 226 Programming in C CMPS 122 or permission of instructor 3
ISIT 101 Introduction to Information Technology   3
ISIT 102 Introduction to Computers and Information Systems   3
FINC 355 International Financial Institutions ECON 222 3


**Students in the Data Science program may take CMPS 110 as a prerequisite instead of BUSN 101

To view sample course outlines for the Bachelor of Arts in Data Science, please click here to download.

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