Office: 3501 Lee Hall
662-325-3742
P.O. Box BQ; Mississippi State, MS 39762
Office of Academic Affairs
Center for Academic Excellence
Executive Director: Dr. Clay Armstrong
YMCA 1st Floor
Mailstop 9711
Web site http://cae.msstate.edu
Telephone: (662) 325-2957
195 Lee Blvd.
Mississippi State, MS 39762
Mission
The Center for Academic Excellence works with all MSU students – especially incoming freshmen – to help assure their smooth transition to the university and success on their road to graduation. The Center promotes student learning and an enriched MSU student experience by providing services, programs, and resources that:
- assist the student with his or her transition into university life;
- aid the student's decision-making, especially during the freshman year; and
- help achieve personal and academic progress and growth, targeted toward graduation.
The Center's strategic goals are to:
- offer services, programs, and classes that assist the student's transition to MSU;
- support student academic planning and progress through high-quality academic advising and timely feedback;
- provide informative and engaging first-year classes and programs;
- provide academic support for all students;
- develop programs and take actions that are informed by analyses of relevant data; and
- engage the university in the support of students in their progress toward graduation.
The Center for Academic Excellence operates the College Ready program, a summer program through which an incoming freshman can take two college classes prior to their first fall semester at discounted cost. The primary goal of College Ready is to smooth the student’s transition to their new living and learning environment. The Center also includes the Freshman Year Navigator program, hiring 30 or more students each year to work as Navigators and help their assigned freshmen throughout their first year at MSU.
The Center also provides Supplemental Instruction and tutoring in 80 or more challenging classes each semester. It also works closely with the University Academic Advising Center, which provides all advising for the freshman class’s largest major, Undeclared. Finally, the Center works with the Pathfinders program to emphasize the importance of class attendance – class attendance is the #1 predictor of student success.
University Academic Advising Center (UAAC)
Undeclared (UND)
Director: Lynda K. Moore
Professional Academic Coordinators: Bailey Berry, Wendy Dandass, Jermaine Jackson, Katy Richey, and Jaiki Shumpert
252 Famous Maroon Band Street.; Mail Stop 9729
Web site at http://www.uaac.msstate.edu/
Telephone (662) 325-4052; Fax (662) 325-4026
P.O. Box 6117, Mississippi State, MS 39762
UAAC Mission to Undeclared Students
The University Academic Advising Center was established to meet the needs of those students who have competing interests in more than one major area, as well as those who are uncertain of their career and educational goals. The professional staff at the center offer one-on-one advising services to traditional and non-traditional undergraduate students and provide accurate information concerning general curriculum requirements, university policies and procedures, campus resources and various programs of study. The center is committed to assisting students with the development of educational plans consistent with their life goals, objectives and abilities. Students normally remain Undeclared for no more than three semesters during which time advisors recommend courses that meet basic core requirements in relation to “majors of interest” for each individual student. Students must declare a major before completing 75 hours.
UAAC advisors traditionally recommend that Undeclared students enroll in 15-18 hours each fall and spring semester with careful considerations given to courses required in each student’s majors of interest. It is the goal of the center to assist each Undeclared student in enrolling in courses that satisfy the minimum core requirements for any major the student may later choose with respect to each department’s right to specify more stringent requirements than the University as a whole. However, ultimate responsibility for taking the UAAC staff’s advice rests with the student.
UAAC urges students to make appointments with advisors at the center to establish a plan of action. The University Academic Advising Center staff encourages all Undeclared majors to utilize services offered by the Career Center, the Counseling Center, the Learning Center, Center for Student Success, Student Support Services and other support programs offered by various units at MSU.
The UAAC advises for the University Studies degree, the Complete to Compete Program, and Applied Science.
Bachelor of Applied Science (BAS)
Major Advisors: Kali Dunlap, Kristi Dearing, and Jaiki Shumpert
The applied baccalaureate degree is specifically intended to serve the needs of adult learners, military, and community college transfers who have completed a technical associate degree program, such as an Associate of Applied Science (AAS) from a SACSCOC accredited community college in the state of Mississippi or comparable regionally-accredited community college. The Bachelor of Applied Science is a flexible pathway design that allows learners to customize their education to advance in their career paths. Building upon the AAS or other technical associate degree program, the BAS degree prepares adult learners, military, and community college transfers to assume leadership roles and make an elevated contribution in the workplace.
The minimum number of hours required in the BAS degree is 120 hours, which may include 60 hours of credit with a 2.0 GPA earned as a part of the AAS degree. No more than 25 percent of the 120 credits may be earned through prior learning assessment and/or competency-based learning. Of the 120 credit hours, 30 shall be completed in residency at Mississippi State University and 30 shall be upper division (3/4000-level) courses. The delivery format of courses for the program may be offered face-to-face or online. In addition, up to 45 hours of approved technical or military credit may be used to fulfill the required elective hours. See advisor for information.
Degree Requirements
English Composition | ||
EN 1103 | English Composition I | 3 |
or EN 1104 | Expanded English Composition I | |
EN 1113 | English Composition II | 3 |
or EN 1173 | Accelerated Composition II | |
Humanities | ||
See General Education Core | 6 | |
Mathematics | ||
See General Education Core | 3 | |
Fine Arts | ||
See General Education Core | 3 | |
Natural Sciences | ||
See General Education Core. Two labs required. | 6 | |
Social Sciences | ||
See General Education Core | 6 | |
Oral Communication Requirement | ||
CO 1003 | Fundamentals of Public Speaking | 3 |
or CO 1013 | Introduction to Communication | |
Or other approved speech course | ||
Computer Literacy | ||
TECH 1273 | Computer Applications | 2-3 |
or BIS 1012 | Introduction to Business Information Systems | |
Or other approved technology course | ||
Extra University Core | ||
See General Education Core or Advisor Approved Upper Level Courses | 6 | |
Junior/Senior Writing Requirements | ||
Consult Advisor | 3 | |
Major Core Emphasis Areas | ||
Consult Advisor | ||
Upper Level Courses (one, two, or three emphasis areas) | 30 | |
Electives | ||
May include approved technical or military credits | 45 | |
Total Hours | 120 |
University Studies - Complete to Compete Program (C2C)
Major C2C Coaches: Kristi Dearing, Kali Dunlap, Lynda Moore, and Jaiki Shumpert
The Bachelor of Science in University Studies is housed in the Office of the Provost and Executive Vice President (Academic Affairs). A student who wishes to pursue the major in University Studies must enroll in the Complete to Compete (C2C) program and be eligible for admission to the degree program. To be eligible, the student must meet the criteria of an adult learner, i.e. must be at least 21 years old, have earned at least 90 semester credit hours, have not earned a baccalaureate degree, and must not have attended a postsecondary institution within the last twenty-four months.
The University Studies degree is designed to provide eligible adult learners who have not completed a baccalaureate degree a pathway to return to Mississippi State University to complete a degree. The curriculum is individualized to meet the needs and career goals of the returning adult learner. An eligible student will meet with a C2C Coach and work with faculty to develop the best degree plan possible.
Degree Requirements
English Composition | ||
EN 1103 | English Composition I | 3 |
EN 1113 | English Composition II | 3 |
Humanities | ||
See General Education Core | 6 | |
Mathematics | ||
See General Education Core | 3 | |
Fine Arts | ||
See General Education Core | 3 | |
Natural Sciences | ||
See General Education Core. Two labs required. | 6 | |
Social Sciences | ||
See General Education Core | 6 | |
Oral Communication Requirement | ||
CO 1003 | Fundamentals of Public Speaking | 3 |
or CO 1013 | Introduction to Communication | |
Or other approved speech course | ||
Computer Literacy | ||
TECH 1273 | Computer Applications | 2-3 |
or BIS 1012 | Introduction to Business Information Systems | |
Or other approved technology course | ||
Extra University Core | ||
See General Education Core or Advisor Approved Upper Level Courses | 24 | |
Junior/Senior Writing Requirements | ||
Consult with C2C Coach and/or Faculty Advisor | 3 | |
Major Core Emphasis Areas | ||
Consult C2C Coach and/or Faculty Advisor | ||
Upper Level Courses (one, two, or three emphasis areas) | 30 | |
General Electives | 25-28 | |
Total Hours | 120 |
Bachelor of Science in Data Science
The Bachelor of Science in Data Science is an interdisciplinary program that draws upon disciplines from multiple colleges. It is a 123-hour inter-college program designed to include three general areas of coursework: general education, program core, and applications of the data science fundamentals in specific body of knowledge such as geoinformatics, computational intelligence and cybersecurity, marketing, management information systems, statistical modeling, social science analytics, architectural design and built environment, and smart agriculture. The overall curriculum is designed to provide students with an ideal educational experience necessary to become effective professional data science experts. Under the proposed undergraduate curriculum, general education coursework will help data science students develop intellectual curiosity, critical thinking, and ethical and aesthetic awareness. The coursework for the core program will provide students with the opportunity to build a strong foundation in the key fields of data science that include computer science, mathematics and statistics, management information systems, communication, management/leadership, design, and ethics. The course sequences for several distinct areas of academic concentration will provide students with the opportunity to become data science experts in a specific area.
English | ||
EN 1103 | English Composition I | 3-4 |
or EN 1104 | Expanded English Composition I | |
EN 1113 | English Composition II | 3 |
or EN 1173 | Accelerated Composition II | |
Fine Arts | ||
Any Gen Ed course | 3 | |
Natural Sciences | ||
2 lab based sciences required by Gen Ed | 6 | |
Math | ||
MA 1713 | Calculus I | 3 |
MA 1723 | Calculus II | 3 |
MA 2733 | Calculus III | 3 |
Humanities | ||
PHI 1113 | Introduction to Logic | 3 |
Any additional Gen Ed course | 3 | |
Social/Behavioral Sciences | ||
DSCI 2013 | Data Science Literacy | 3 |
Any additional Gen Ed course | 3 | |
Oral Communication | ||
CO 3213 | Small Group Communication | 3 |
Technical Writing | ||
CO 3223 | Communication & Media Research Methods | 3 |
Major Core | ||
MA 3123 | Introduction to Statistical Inference | 3 |
MA 3113 | Introduction to Linear Algebra | 3 |
MA 4523 | Introduction to Probability | 3 |
or ST 4523 | Introduction to Probability | |
CSE 1284 | Introduction to Computer Programming | 4 |
CSE 1384 | Intermediate Computer Programming | 4 |
CSE 2813 | Discrete Structures | 3 |
CSE 2383 | Data Structures and Analysis of Algorithms | 3 |
CSE 3763 | Ethical and Legal Issues in Computing | 3 |
CSE 4503 | Database Management Systems | 3 |
CSE 4633 | Artificial Intelligence | 3 |
BIS 3233 | Management Information Systems | 3 |
DSCI 2012 | Data Science Lab – Data Wrangling | 2 |
DSCI 2022 | Data Science Lab – Cloud, High-Performance, and Quantum Computing | 2 |
DSCI 3012 | Data Science Lab: Description, Analysis, and Inference | 2 |
DSCI 3013 | Fundamentals of Data Acquisition | 3 |
DSCI 3022 | Data Science Lab – Data Visualization | 2 |
DSCI 3032 | Data Science Lab – Artificial Intelligence | 2 |
DSCI 4013 | Data Visualization | 3 |
Concentration Courses | 30 | |
Total Hours | 123 |
Each area of concentration combines fundamental, field-specific content, concentration electives designed to apply data science to the field, and a sex-hour practicum/capstone project. On their third year, students will have the opportunity to select a concentration area from the several available areas offered by the different college on campus.
Visualization and Visual Analytics for Built Environment Concentration
Fundamental Discipline Courses | ||
Complete 8 of the following: | 24 | |
Design I | ||
Introduction to Computing for Art | ||
Intermediate Computing for Designers | ||
Introduction of Multimedia I Design and Authoring | ||
Virtual Design and Construction | ||
Digital Design for Interiors | ||
3/D CAD/Modeling | ||
Environmental Building Systems I | ||
Environmental Building Systems II | ||
Architecture and Virtual Spaces | ||
Capstone | ||
DSCI 4553 | Data Science Capstone 1 | 3 |
DSCI 4663 | Data Science Capstone 2 | 3 |
Computational Agriculture and Natural Resources Concentration
Fundamental Discipline Courses | ||
Choose 1 course from the following: | 3 | |
Introduction to Food and Resource Economics | ||
Engineering Technology in Agriculture | ||
Principles of Biochemistry | ||
Plant Science | ||
Animal Science | ||
Choose 1 course from the following: | 3 | |
Introduction to Sustainable Bioproducts | ||
Applied Ecology | ||
Forest Ecology | ||
Core Concentration Courses | ||
Choose 6 hours from the following: | 6 | |
CALS | ||
Principles of Macroeconomics | ||
Intermediate Microeconomics | ||
Introduction to Sustainability Economics | ||
Introductory Agribusiness Management | ||
Introduction to Environmental Economics and Policy | ||
Financial and Commodity Futures Marketing | ||
Principles of Agricultural and Off-Road Machines | ||
Precision Agriculture I | ||
Precision Agriculture II | ||
Essential Biochemical Concepts and Analysis | ||
Protein Methods | ||
Anatomy and Physiology | ||
Introduction to Meat Science | ||
CFR | ||
Introduction to Bioproduct Industries | ||
Materials and Processing of Structural Bioproducts | ||
Fisheries Management | ||
Landscape Ecology | ||
Forest Measurements | ||
Essentials of Biotechnology | ||
Forest Resource Economics | ||
Forest Ecology | ||
Applied Courses | ||
Choose 12 hours from the following: | 12 | |
CALS | ||
Analysis of Food Markets and Prices | ||
Applied Quantitative Analysis in Agricultural Economics | ||
Economics of Precision Agriculture | ||
Public Problems of Agriculture | ||
Econometric Analysis in Agriculture Economics | ||
Land Surveying | ||
The Global Positional System and Geographic Information Systems in Agriculture and Engineering | ||
Agricultural and Off-Road Machinery Management | ||
Soil and Water Management | ||
Introduction to Imaging in Biological Systems | ||
Introduction to Remote Sensing Technologies | ||
Integrative Protein Evolution | ||
Introduction to Remote Sensing Technologies | ||
Internet-Based Management in Livestock Industries | ||
CFR | ||
Wood Anatomy | ||
Quantitative Methods in Sustainable Bioproducts | ||
Wildlife & Fisheries Biometrics | ||
Wildlife Techniques | ||
Application of Spatial Technologies to Wildlife and Fisheries Management | ||
Forest Description and Analysis | ||
Forest Biometrics | ||
Spatial Technologies in Natural Resources Management | ||
Remote Sensing Applications | ||
GIS for Natural Resource Management | ||
Capstone | ||
DSCI 4553 | Data Science Capstone 1 | 3 |
DSCI 4663 | Data Science Capstone 2 | 3 |
Business Information Systems Concentration
Fundamental Discipline Courses | ||
Choose 3 courses from the following: | 9 | |
The Legal Environment of Business | ||
Principles of Financial Accounting | ||
Principles of Managerial Accounting | ||
Principles of Macroeconomics | ||
Principles of Microeconomics | ||
Financial Management | ||
Principles of Management | ||
Principles of Marketing | ||
International Logistics | ||
Core Concentration Courses | ||
BQA 4423 | Business Decision Analysis | 3 |
BIS 4533 | Decision Support Systems | 3 |
BIS 4113 | Business Information Systems Security Management | 3 |
BIS 4753 | Structured Systems Analysis and Design | 3 |
4000-level business course | 3 | |
Capstone | ||
BIS 4763 | BIS Senior Seminar | 3 |
BQA 4413 | Business Forecasting and Predictive Analytics | 3 |
Marketing and Supply Chain Concentration
Fundamental Discipline Courses | ||
MKT 3013 | Principles of Marketing | 3 |
MKT 3323 | International Logistics | 3 |
Choose 2 courses from the following: | 6 | |
The Legal Environment of Business | ||
Principles of Financial Accounting | ||
Principles of Managerial Accounting | ||
Principles of Macroeconomics | ||
Principles of Microeconomics | ||
Financial Management | ||
Principles of Management | ||
Core Concentration Courses | ||
Choose 4 courses from the following: | 12 | |
Business Decision Analysis | ||
Decision Support Systems | ||
Procurement | ||
International Transportation | ||
Internet Marketing | ||
Physical Distribution Management | ||
Marketing Research | ||
Capstone | ||
MKT 4333 | International Supply Chain Management | 3 |
BQA 4413 | Business Forecasting and Predictive Analytics | 3 |
Social Data Analytics Concentration
Fundamental Discipline Courses | ||
Choose 9 hours from the following (but no more than 6 hours in any one field): | 9 | |
Introduction to Anthropology | ||
Introduction to Cultural Anthropology | ||
Introduction to Biological Anthropology | ||
Introduction to the Mass Media | ||
Maps and Remote Sensing | ||
Introduction to International Relations | ||
Comparative Government | ||
Introduction to Public Policy | ||
Crime and Justice in America | ||
Introduction to Sociology | ||
Contemporary Social Problems | ||
Core Concentration Courses | ||
Choose 15 hours from the following: | 15 | |
Introduction to Forensic Anthropology | ||
Anthropology of International Development | ||
Environment and Society | ||
Plagues and People | ||
Political Communication | ||
Health Communication | ||
White Collar Crime and Elite Deviance | ||
Survey of Geospatial Technologies | ||
Urban Geography | ||
State Election Policy and Politics | ||
Public Opinion | ||
Political Behavior | ||
International Conflict and Security | ||
International Terrorism | ||
Political Analysis | ||
Democracy and Inequality | ||
Civil Wars and Intra-State Conflicts | ||
Rural Sociology | ||
Social Organization and Change | ||
Poverty, Analysis: People, Organization and Program | ||
Environment and Society | ||
Capstone | ||
DSCI 4553 | Data Science Capstone 1 | 3 |
DSCI 4663 | Data Science Capstone 2 | 3 |
Psychoinformatics Concentration
Fundamental Discipline Courses | ||
PSY 1021 | Careers in Psychology | 1 |
PSY 3104 | Introductory Psychological Statistics | 4 |
PSY 3314 | Experimental Psychology | 4 |
Core Concentration Courses | ||
Choose 9 hours from the following: | 9 | |
Psychology of Learning | ||
Social Psychology | ||
Cognitive Psychology | ||
Introduction to Developmental Psychology | ||
Biological Psychology | ||
6 hours of 4000-level PSY courses | 6 | |
Capstone | ||
PSY 4000 | Directed Individual Study in Psychology | 6 |
Statistical Modeling Concentration
Core Concentration Courses | ||
Choose 24 hours from the following: | 24 | |
Introduction to Modern Scientific Computing | ||
Discrete Mathematics | ||
Graph Theory | ||
Mathematical Foundations of Machine Learning | ||
Nonparametric Methods | ||
Data Analysis I | ||
Introduction to Spatial Statistics | ||
Introduction to Mathematical Statistics I | ||
Capstone | ||
DSCI 4553 | Data Science Capstone 1 | 3 |
DSCI 4663 | Data Science Capstone 2 | 3 |
Computational Intelligence Concentration
Core Concentration Courses | ||
CSE 2213 | Methods and Tools in Software Development | 3 |
CSE 4163 | Designing Parallel Algorithms | 3 |
CSE 4293 | AI for Cybersecurity | 3 |
CSE 4623 | Computational Biology | 3 |
CSE 4643 | AI Robotics | 3 |
CSE 4653 | Cognitive Science | 3 |
CSE 4683 | Machine Learning and Soft Computing | 3 |
CSE 4833 | Introduction to Analysis of Algorithms | 3 |
Capstone | ||
DSCI 4553 | Data Science Capstone 1 | 3 |
DSCI 4663 | Data Science Capstone 2 | 3 |
Geoinformatics Concentration
Fundamental Discipline Courses | ||
GR 4303 | Principles of GIS | 3 |
GR 4633 | Statistical Climatology | 3 |
Choose 1 of the following: | 3 | |
Remote Sensing of the Physical Environment | ||
Satellite Meteorology | ||
Radar Meteorology | ||
Core Concentration Courses | ||
Choose 15 hours from the following: | 15 | |
Urban Geography | ||
Advanced GIS 2 | ||
Cartographic Sciences 2 | ||
Remote Sensing of the Physical Environment 1, 2 | ||
Advanced Remote Sensing in Geosciences 2 | ||
Geographic Information Systems Programming 2 | ||
Computer Methods in Meteorology | ||
Applied Climatology | ||
Physical Meteorology and Climatology I | ||
Physical Meteorology and Climatology II | ||
Synoptic Meteorology | ||
Satellite Meteorology 1 | ||
Radar Meteorology 1 | ||
Water Resources | ||
Applied Geophysics | ||
Geomorphology | ||
Coastal Environments | ||
Community Engagement in Environmental Geosciences | ||
Physical Hydrogeology | ||
Capstone | ||
DSCI 4553 | Data Science Capstone 1 | 3 |
DSCI 4663 | Data Science Capstone 2 | 3 |
- 1
Can be used as remaining hours if not already used for the required concentration.
- 2
Counts towards the Geospatial and Remote Sensing Minor