I really need some help from one of the degree gurus. I’ve REALLY screwed up with my classes in the past but I’m ready to finally earn a degree. I’ve been working in finance with the federal government for over a decade and make a good salary but I hate it. I want to get into a data science/analytics/programming related career field ASAP.
Location: Virginia
Age: 43 (yeah I’m old as hell and kind of late to finally earn a degree/change careers)
Degree wanted: TESU’s B.S. D.S. and Analytics/another B.S. degree from TESU or another institution if it makes more sense to do so.
Here’s what I’ve transferred to TESU. Listing the various courses I’ve taken over the years with my grades is super embarrassing but here they are:
Appalachian State Credit Grade TESU Credit TESU Course
Davidson County CC
Harford CC
TESU-Army JST
TESU-Marines JST
Towson University
UNC
Grand Total 119.00
Sophia
TESU’s B.S. DS and Analytics:
A. Intellectual and Practical Skills (15 Credits)
ENC-1010, Writing for Success, 3
ENC-1020, English Composition II, 3
COM-2090, Public Speaking, 3
MAT-1150, Intermediate Algebra, 3
SOS-1100, Fact, Fiction, or Fake? Information Literacy Today, 3
B. Civic and Global Leadership (9 Credits)
SOC-1010, Our Changing World: An Introduction to Sociology, 3
ETH-2200, Leading the Way: A Path Towards Ethical Leadership, 3
POS-1100, American Government, 3
C. Knowledge of Human Cultures (15 Credits)
CRJ-2800, Forensic Science, 3
HIS-1130, American History I, 3
FIL-1100, Exploring American Cinema, 3
Select two featured courses from the list below:
SOC-2910, Criminology, 3
HIS-1140, American History II, 3
HUM-1030, Introduction to the Humanities III: Music,
D. Scientific Knowledge (7 Credits)
CIS-1070, Computer Concepts and Applications, 3
-, Any Lab Science, 4
II. Area of Study (42 Credits)
-, Any Math Course, 3
-, Any Lab Science, 4
A. Core Area of Study Courses (23 Credits)
STA-2010, Principles of Statistics, 3
Predictive Analytics I- Machine Learning Tools*
Predictive Analytics II- Neural Nets and Regression*
Predictive Analytics III- Dimension Reduction, Clustering and Association Rules*
Optimization- Linear Programming*
Introduction to Network Analysis*
Forecasting Analytics
Interactive Data Visualization*
B. Area of Study Electives: Students select four of the following courses (12 Credits)
SQL- Introduction to Database Queries*
Regression Analysis*
Introduction to R Programming
Python for Analytics
Financial Risk Modeling*
Spatial Statistics with Geographic Information Systems*
Integer and Nonlinear Programming and Network Flow
Risk Simulation and Queuing*
R Programming Intermediate
*Upper-division course as designated by ACE.
III. Electives (32 Credits)
For TESU course options, go to Elective Courses.
Sorry for the extremely long post, I have a very long and sordid academic history as you can see lol. I’m trying to get all this sorted out for some peace of mind. I’ve tried to figure all this out on my own but I end up more confused. My ultimate goal is to earn a B.S. degree then go on to GT OMSA/UT Austin’s M.S. in D.S./UC Boulder’s M.S. in D.S. I realize I most likely have absolutely no chance with GT or UT Austin so UC Boulder may be my first choice by default.
Thanks
Location: Virginia
Age: 43 (yeah I’m old as hell and kind of late to finally earn a degree/change careers)
Degree wanted: TESU’s B.S. D.S. and Analytics/another B.S. degree from TESU or another institution if it makes more sense to do so.
Here’s what I’ve transferred to TESU. Listing the various courses I’ve taken over the years with my grades is super embarrassing but here they are:
Appalachian State Credit Grade TESU Credit TESU Course
- CJ1100/Intro to Criminal Justice 3.00 B- 3.00 AOJ-102
- HIS1101/World Civil to 1650 3.00 C- 3.00 HIS-121
- PS2130/State & Local Gov’t 3.00 C 3.00 POS-211
- SOC1100/Soc Prob in Amer Soc 3.00 A 3.00 SOC-173
- MAT1010/Intro to Math 4.00 D 3.00 MAT-102
- CJ2150/The Judicial Process 3.00 C 3.00 AOJ-202
Davidson County CC
- ENG111/Expository Writing 3.00 B 3.00 ENC-101
- PSY150/General Psychology 3.00 A 3.00 PSY-101
- ENG113/Literature Based Research 3.00 B 3.00 ENC-102
- MUS112/Intro to Jazz 3.00 C 3.00 MUS-138
- HIS131/American History I 3.00 B 3.00 HIS-113
- MAT101/Applied Math 1 3.00 A 3.00 MAT-101
- POL120/American Government 3.00 B 3.00 POS-110
- ECO251/Microeconomics 3.00 B 3.00 ECO-112
- HIS132/American History II 3.00 B 3.00 HIS-114
- REL211/Old Testament 3.00 A 3.00 REL-280
Harford CC
- CIS102/Intro to Info Sci 3.00 C 3.00 CIS-102
- GEOG101/Physical Geography 3.00 D 3.00 GOG-110
- MATH216/Intro to Stats 4.00 C 4.00 STA-201
TESU-Army JST
- 3.00 HRM-215
- 3.00 MAN-210
- 1.00 HRM-215
- 2.00 MSC-201
- 3.00 CIS-201
- 3.00 COM-202
- 3.00 PSY-261
- 3.00 ACC-199
- 3.00 ACC-320
- 3.00 BUS-212
- 1.00 CAP-101
- 2.00 COM-199
- 1.00 MAN-201
- 1.00 FIN-199
- 3.00 MAN-200
TESU-Marines JST
- 2.00 MSC-131
- 1.00 MSC-161
- 1.00 PEA-199
- 3.00 SES-211
- 1.00 MAN-201
- 1.00 NUT-101
- 1.00 SOS-231
- 1.00 HRM-242
- 1.00 BUE-101
Towson University
- LEGL225/Legal Env Bus 3.00 C 3.00 LAW-201
- ACCT202/Acct Prin II 3.00 C+ 3.00 ACC-102
- COSC321/Comp and Its Impact 3.00 C 3.00 COS-300
UNC
- ACCT2121/Prin of Acct I 3.00 C 3.00 ACC-101
- ECON2101/Prin of Econ Macro 3.00 C 3.00 ECO-111
Grand Total 119.00
Sophia
- Ancient Greek Philosophers (PHI-226)
- Python for Analytics
- R Programming Intro 1
TESU’s B.S. DS and Analytics:
A. Intellectual and Practical Skills (15 Credits)
ENC-1010, Writing for Success, 3
ENC-1020, English Composition II, 3
COM-2090, Public Speaking, 3
MAT-1150, Intermediate Algebra, 3
SOS-1100, Fact, Fiction, or Fake? Information Literacy Today, 3
B. Civic and Global Leadership (9 Credits)
SOC-1010, Our Changing World: An Introduction to Sociology, 3
ETH-2200, Leading the Way: A Path Towards Ethical Leadership, 3
POS-1100, American Government, 3
C. Knowledge of Human Cultures (15 Credits)
CRJ-2800, Forensic Science, 3
HIS-1130, American History I, 3
FIL-1100, Exploring American Cinema, 3
Select two featured courses from the list below:
SOC-2910, Criminology, 3
HIS-1140, American History II, 3
HUM-1030, Introduction to the Humanities III: Music,
D. Scientific Knowledge (7 Credits)
CIS-1070, Computer Concepts and Applications, 3
-, Any Lab Science, 4
II. Area of Study (42 Credits)
-, Any Math Course, 3
-, Any Lab Science, 4
A. Core Area of Study Courses (23 Credits)
STA-2010, Principles of Statistics, 3
Predictive Analytics I- Machine Learning Tools*
Predictive Analytics II- Neural Nets and Regression*
Predictive Analytics III- Dimension Reduction, Clustering and Association Rules*
Optimization- Linear Programming*
Introduction to Network Analysis*
Forecasting Analytics
Interactive Data Visualization*
B. Area of Study Electives: Students select four of the following courses (12 Credits)
SQL- Introduction to Database Queries*
Regression Analysis*
Introduction to R Programming
Python for Analytics
Financial Risk Modeling*
Spatial Statistics with Geographic Information Systems*
Integer and Nonlinear Programming and Network Flow
Risk Simulation and Queuing*
R Programming Intermediate
*Upper-division course as designated by ACE.
III. Electives (32 Credits)
For TESU course options, go to Elective Courses.
Sorry for the extremely long post, I have a very long and sordid academic history as you can see lol. I’m trying to get all this sorted out for some peace of mind. I’ve tried to figure all this out on my own but I end up more confused. My ultimate goal is to earn a B.S. degree then go on to GT OMSA/UT Austin’s M.S. in D.S./UC Boulder’s M.S. in D.S. I realize I most likely have absolutely no chance with GT or UT Austin so UC Boulder may be my first choice by default.
Thanks