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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:

DATA SCIENCE CORE REQUIREMENTS
CodeCoursePrerequisiteCredits
BUSN/INTL 240Law & EthicsU 1013
CMPS 122Introduction to Java ICMPS 1103
CMPS 202Data Structures and Algorithms ICMPS 1103
CMPS 205Data Structures and Algorithms IICMPS 2023
CMPS 211Computer NetworksCMPS 1103
CMPS 222Java IICMPS 1223
CMPS 226Programming in CMATH 1103
CMPS 230Computer OrganizationCMPS 1103
CMPS 318Database Management SystemsCMPS 2023
CMPS 322Machine Learning and Pattern RecognitionCMPS 2263
CMPS 337Introduction to Data ScienceCMPS 2053
CMPS 438Computer SecurityCMPS 2113
ISIT 112Introduction to Information TechnologyCMPS 1103
ISIT 224Information Systems Analysis and DesignCMPS 1103
MATH 110Introduction to Business StatisticsMATH 1043
MATH 128Linear AlgebraMATH 1103
MATH 131Calculus IMATH 1043
MATH 132Calculus IIMATH 1313
MATH 140Discrete MathematicsMATH 1103
MATH 212Numerical AnalysisMATH 1403
DATA SCIENCE CORE ELECTIVES
CodeCoursePrerequisiteCredits
CMPS 315Operating SystemsISIT 2243
CMPS 332Analysis of AlgorithmsCMPS 2053
CMPS 410Introduction to Artificial IntelligenceCMPS 3223
CMPS 426BioinformaticsCMPS 3183
CMPS 433Game ProgrammingCMPS 3223
CMPS 477Image ProcessingCMPS 3183
CMPS 480Big DataCMPS 3183
ISIT 328Data Warehouse DesignCMPS 2023
ISIT 350Advanced Web Application DesignISIT 2243
ISIT 355Advanced Mobile Application DevelopmentCMPS 2263
ISIT 362Social Network AnalysisISIT 2243
ISIT 370Agile Project ManagementMGMT 2003
MGMT 200Introduction to Project Management*CMPS 1103
GENERAL ELECTIVES: HUMANITIES
Course Title & CodeCourse NamePrerequisitesCredit
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 IIA moderate score on the BAU English exam or ENGL 1213
ENGL 123 (WR)Academic WritingA high score on the BAU English exam or ENGL 1223
ENGL 222 (LT)Five American NovelsENGL 122 or ENGL 1233
ENGL 235 (LT)African-American LiteratureENGL 122 or ENGL 1233
ENGL 237 (LT)Asian-American LiteratureENGL 122 or ENGL 1233
ENGL 251 (LT)Persian Literature, From Epic Poetry to the Graphic NovelENGL 122 or ENGL 1233
FREN 101 (ML)Elementary French I 3
FREN 121 (ML)Elementary French IIFREN 101 or permission of instructor3
SPAN 101 (ML)Elementary Spanish I 3
SPAN 121 (ML)Elementary Spanish IISPAN 101 or permission of instructor3
GERM 101 (ML)Elementary German I 3
GERM 121 (ML)Elementary German IIGERM 101 or permission of instructor3
TURK 101 (ML)Elementary Turkish I
TURK 121 (ML)Elementary Turkish IITURK 101 or permission of instructor3
PHIL 105Introduction to Philosophy 3
PHIL 108Moral Dilemmas and Social Ethics 3
GENERAL ELECTIVES: MATHEMATICS & THE SCIENCES
Course Title & CodeCourse NamePrerequisitesCredit
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 Science3 
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 IIMATH 1313
GENERAL ELECTIVES: SOCIAL SCIENCES
Course Title & CodeCourse NamePrerequisitesCredit
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 166, 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 231Environmentally Sustainable Development 3
ECON 221Intermediate Microeconomics 3
ECON 222Intermediate Macroeconomics 3
ECON 315Political Economy 3
ECON 371The Development of Economic Thought 3
ECON 432Money and Markets 3
ECON 437Econometrics 3
ECON 456International Financial Crises 3
ECON 473Keynes 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 166 (HS)Atlantic History, 1492-1815 3
HIST 168 (HS)The Islamic Middle East, 622-1258 CE 3
HIST 169 (HS)Asian History, 1550-1950 3
INTL 161Diplomatic History 3
INTL 253International OrganizationsINTL 1613
INTL 257International RelationsINTL 1613
INTL 271Gender, Development & GlobalizationINTL 1613
INTL 350The Government and Politics of BritainINTL 1613
INTL 351The Politics of the Middle EastINTL 1613
INTL 352The Politics of India and PakistanINTL 1613
INTL 353The Government and Politics of ChinaINTL 1613
INTL 354International Development and Emerging MarketsINTL 1613
INTL 355Latin American PoliticsINTL 1613
INTL 356Politics and Society in Present-Day RussiaINTL 1613
INTL 359The European UnionINTL 1613
INTL 451World Politics and World OrderINTL 1613
INTL 458Introduction to International Human RightsINTL 1613
INTL 459International SecurityINTL 1613
POLS 101An Introduction to Politics and Political Science 3
POLS 105Writing and Editing the News 3
POLS 115Political Ideologies 3
POLS 121Government and Politics of the United States 3
POLS 227Media EthicsPOLS 1013
POLS 251Comparative Politics of Industrialized SocietiesPOLS 1013
POLS 252Comparative Politics of Transitional SocietiesPOLS 1013
POLS 321Political Parties in AmericaPOLS 1013
POLS 359The Spreading of DemocracyPOLS 1013
POLS 363Ancient, Medieval, and Renaissance Political ThoughtINTL 1613
POLS 373Modern Political ThoughtPOLS 1013
PSYC 101 (HB)Introduction to Psychology 3
SOCI 101 (HB)Introduction to Sociology 3
SOCI 221 (HB)Social Class, Gender & Inequality 3
PURE ELECTIVES
Course Title & CodeCourse NamePrerequisitesCredit
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 315Accounting Information SystemsACCT 212, MATH 2253
ACCT 417Federal Income Tax AccountingACCT 3153
ACCT 432Accounting for Not-for-Profits and for GovernmentsACCT 3223
ACCT 435Accounting Decision Making and ControlACCT 2123
ACCT 437AuditingACCT 112, ACCT 3223
ACCT 452International Accounting and Financial ReportingACCT 3223
CMPS 110Introduction to Computer Science 3
CMPS 122Introduction to Java ICMPS 110 or permission of instructor3
CMPS 222Java IICMPS 122 or permission of instructor3
CMPS 226Programming in CCMPS 122 or permission of instructor3
ISIT 101Introduction to Information Technology 3
ISIT 102Introduction to Computers and Information Systems 3
FINC 355International Financial InstitutionsECON 2223

**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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