Georgia College & State University
Data Science BS
Milledgeville, Amerikai Egyesült Államok
BSc (természettudományi alapképzés)
IDŐTARTAM
4 év
NYELVEK
Angol
PACE
Teljes idő
JELENTKEZÉSI HATÁRIDŐ
LEGKORÁBBI KEZDÉSI DÁTUM
TANULMÁNYI FORMÁTUM
Az egyetemen
Szerezzen alapvető ismereteket az adatelemzésről
A Bachelor of Data Science program hallgatói felhasználhatják szakértelmüket, beleértve a programozási, algoritmus-, adatbányászati és gépi tanulási készségeket, hogy értelmezzék az ipar vagy a kutatás számára értelmes információkat nyújtó adatokat.
Key Benefits of this Degree
- Fejlessze készségeit szigorú programunkkal, amely felkészít arra, hogy profitorientált vállalatoknál, kormányzatnál és más szervezeteknél dolgozzon.
- Vegyen részt karrier-felkészítő tanfolyamokon, és szerezzen be interjúkészségeket, szakmai etikettet és sok mást
- Csatlakozzon másokhoz, ha valamelyik diákszervezetünkhöz csatlakozik.
- Válassza ki a tetőpontját egy olyan cégnél, amely érdekli, vagy végezzen saját matematikai vagy számítástechnikai kutatást.
Core Areas A-E
Satisfactorily complete core Areas A-E, as listed in the Core Curriculum section of this catalog.
Core Curriculum
Georgia College, in cooperation with other institutions of the University System of Georgia, has adopted a core curriculum to allow the transfer of credit from one University System institution to another without penalty to the student. The University System's core curriculum is comprised of five areas: Areas A - E.
Students successfully completing an Area A-E course at one University System institution will receive full credit in Areas A-E for the course upon transfer to another System institution, even if the area has not been completed, as long as the course is within the area hour limitations of either the sending institution or the receiving institution and the student does not change from a non-science major to a science major.
Georgia College's approved core curriculum courses for Areas A, B, C, D, and E are listed below. Courses not listed here are not approved for these areas.
In this section
- Area A: Communication Skills
- Area A2: Quantitative Skills
- Area B: Institutional Options
- Area C1: Humanities and Ethics
- Area C2: Fine Arts
- Area D: Natural Sciences, Math, and Technology for Non-Science Majors
- Area D: Natural Sciences, Math, and Technology for Science Majors
- Area D: Natural Sciences, Math, and Technology for Health Professions Majors
- Area E: Social Sciences
- Area F: Courses Appropriate to the Student's Major Field
Total Credit Hours: 42
Area F
Satisfactorily complete the following courses:
- CSCI 1301 Computer Science I
- CSCI 1302 Computer Science II
- CSCI 2351 Python Programming
- CSCI 2800 Social & Professional Issues
- MATH 1401 Elementary Statistics
Total Credit Hours: 18
NOTE: Additional hours to complete the 18 hours required for Area F will be completed in the cognate areas.
Cognate Area
Satisfactorily complete the following courses:
- CSCI 2810 IS/CS Professional Development
- CSCI 2811 IS/CS Career Preparation
- MATH 1261 Calculus I
- MATH 1262 Calculus II
- MATH 2150 Linear Algebra
Total Credit Hours: 2-13
Note: Some courses may count in Area A, D, or F.
Major Requirements
Computer Science Courses
Satisfactorily complete the following courses:
- CSCI 3410 Intro to Data Structures
- CSCI 3680 Discrete Structures
- CSCI 3710 Data Mining
- CSCI 3711 Data Analysis
- CSCI 4520 Analysis of Algorithms
- CSCI 4710 Databases
- CSCI 4711 Machine Learning
- CSCI 4712 Big Data Analysis
Total Credit Hours: 25
Mathematics and Statistics Courses
Satisfactorily complete the following courses:
- MATH 4100 Linear Regression
- MATH 4600 Probability
- MATH 4700 Statistical Computing
Total Credit Hours: 9
Emphasis Area Electives
Complete a concentration or a minor/major in any area (except computer science, math, or management information systems) OR complete 3 courses with the same prefix from those below:
- BIOL 2100 Genetics
- BIOL 3700 Evolution
- BIOL 4227 Population Genetics
- ECON 3600 Intermediate Microeconomics
- ECON 4340 Introductory Econometrics
- ECON 3000-4000 level
- MGMT 3141 Principles of Management
- MGMT 3165 Oper Quality & Supply Chain Management
- MGMT 3175 Business Analytics
- MKTG 3161 Principles of Marketing
- MKTG 3162 Consumer Behavior
- MKTG 4161 Mktg Rsch and Decisions System
- POLS 2101 Introduction to Political Science
- POLS 3000 Research Design
- POLS 4000 Systematic Analysis
- PSYC 2700 Stats Applied to Behavior Sci
- PSYC 2800 Research Methods in Psychology
- PSYC 3000-4000 level
Total Credit Hours: 9-15
Note: All prerequisites apply. Some emphasis electives may be satisfied by the courses in Area D. In this case, students may take major electives instead.
Major Electives
- CSCI 3343 Computer Systems Security
- CSCI 4820 Artificial Intelligence
- MATH 2263 Calculus III
- MATH 4620 Mathematical Statistics
- Additional CSCI or MATH courses at the 3000-4000 level
Total Credit Hours: 4-10
Capstone Requirement
Satisfactorily complete one of the following courses:
- CSCI 4999 Undergraduate Research
- MATH 4999 Undergraduate Research
Total Credit Hours: 3
Electives
Students who do not take courses listed in Area F and the cognate areas as part of their core requirements will have fewer elective credits available.
Total Credit Hours: 0-6
Additional Degree Requirements
- Satisfactorily complete all graduation requirements listed in the academic policies section of this catalog.
- Earn a grade of C or higher in all major courses.
Total Credit Hours: 120
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