bruinlookdown

Hey everyone, I Just got out of college and am now working full time as a Data Scientist. I'm planning to apply for an MS in Stats for the Fall 2021 cycle. I'm very worried about my GPA and am unsure of which schools I should even aim for. I know my grades don't look the best. This is mainly because I started off very rough (hated my major, had trouble adjusting to college) and did progressively better as I went through school. While I floundered for my first couple years, I really got my stuff together towards the end and am hoping to continue my passion through these mess up. Im not sure if this is a good assumption, but I'm hoping since I actually did better in my more difficult stats classes that I may look a bit better than my GPA implies. If anyone can offer any advice for where I should apply please let me know! Here is my profile: Undergrad Institution: UCLA Major(s): Cognitive Science (Computing Spec) Minor(s): Stats GPA: 3.225 (Overall), 3.365 (Major) Type of Student: Domestic Caucasian Male GRE General Test: Will take in 1-2 months, aiming for 165Q+ Relevant Courses: Psych 100A (Psych Stats) - C Econ 41 (Econ Stats) - C- Math 32B (CALC OF SEVRL VAR) - C- Math 33A ( LINEAR ALGBRA&APPLS) - B- Math 32A (CALC OF SEVRL VAR) - A- Stats 20 (PROGRAMMING WITH R)- A Stats 100A (INTRODCTN-PROBABLTY) - B Stats 102A (INTRO-COMP STATS-R) - B+ Stats 100B (INTRO-MATH STATS) - A- Stats 101A (INTRO-COMP STATS-R) - A+ Comm 188 (Intro to Data Science) - A+ Stats 100C (LINEAR MODELS) - A- Stats 101B (DSGN&ANLY-EXPERIMNT) - A- Stats 102B (INTRO CMPTTN&OPTZTN) - A Math 115A (LINEAR ALGEBRA) - C- Programs Applying: MS in Statistics (Maybe Applied Statistics?), interested in possibly going for a PhD sometime in the future but until I finish a Master's I don't know yet. If anyone wants to know I would like to work in Data Science or possibly as BioStatistician to leverage my Health Sciences background and a Master's degree in Statistics seems like a great way to achieve this. After working for a while I would prefer to get a PhD and go into Academia. Extra Academic Experience: Currently getting the Data Science certificate from UCLA Extension (4 Classes - Intro to Data Science, Machine Learning, Databasing, and Data Visualization) . Likely getting/ Planning to get straight A's in each course. Work Experience: Data Scientist for a small Tech Company Letters of Recommendation: Have 3 professors from the statistics department who have agreed to write me letters, but I don't know them all too well. Will ask a manager at my company who is an Adjunct Data Analytics Professor and the CEO, who I have worked with often. Applying to Where (Current List): UCLA, Texas A&M_______UCSD, UCD, UCSC, UCSB, UCI, SDSU, Ohio State, Colorado State, U Conn, Penn State, U Colorado- Denver, U Virginia__________ San Jose State, Long Beach State, SF State Questions: 1) What could I do to improve my profile between now and when applications are due (Dec 2021)? 2) What schools do you think I could realistically get into? Should I change around my list of schools I'm applying to? I would like to stay within California due to cost if possible. 3) Should I try to go for just pure Stats or maybe Applied Stats? Is there a benefit acceptance wise for applying to Applied Stats programs? Will it hurt me a lot if I get into an applied stats program but decide to try for a PhD down the line? 4) Any target schools I'm missing that I should really check out? Thank you for taking the time to read my post, I'd appreciate any advice at all!

Hey everyone, I Just got out of college and am now working full time as a Data Scientist. I'm planning to apply for an MS in Stats for the Fall 2021 cycle. I'm very worried about my GPA and am unsure of which schools I should even aim for. I know my grades don't look the best. This is mainly because I started off very rough (hated my major, had trouble adjusting to college) and did progressively better as I went through school. While I floundered for my first couple years, I really got my stuff together towards the end and am hoping to continue my passion through these mess up. Im not sure if this is a good assumption, but I'm hoping since I actually did better in my more difficult stats classes that I may look a bit better than my GPA implies. If anyone can offer any advice for where I should apply please let me know! Here is my profile: Undergrad Institution: UCLA Major(s): Cognitive Science (Computing Spec) Minor(s): Stats GPA: 3.225 (Overall), 3.365 (Major) Type of Student: Domestic Caucasian Male GRE General Test: Will take in 1-2 months, aiming for 165Q+ Relevant Courses: Psych 100A (Psych Stats) - C Econ 41 (Econ Stats) - C- Math 32B (CALC OF SEVRL VAR) - C- Math 33A ( LINEAR ALGBRA&APPLS) - B- Math 32A (CALC OF SEVRL VAR) - A- Stats 20 (PROGRAMMING WITH R)- A Stats 100A (INTRODCTN-PROBABLTY) - B Stats 102A (INTRO-COMP STATS-R) - B+ Stats 100B (INTRO-MATH STATS) - A- Stats 101A (INTRO-COMP STATS-R) - A+ Comm 188 (Intro to Data Science) - A+ Stats 100C (LINEAR MODELS) - A- Stats 101B (DSGN&ANLY-EXPERIMNT) - A- Stats 102B (INTRO CMPTTN&OPTZTN) - A Math 115A (LINEAR ALGEBRA) - C- Programs Applying: MS in Statistics (Maybe Applied Statistics?), interested in possibly going for a PhD sometime in the future but until I finish a Master's I don't know yet. If anyone wants to know I would like to work in Data Science or possibly as BioStatistician to leverage my Health Sciences background and a Master's degree in Statistics seems like a great way to achieve this. After working for a while I would prefer to get a PhD and go into Academia. Extra Academic Experience: Currently getting the Data Science certificate from UCLA Extension (4 Classes - Intro to Data Science, Machine Learning, Databasing, and Data Visualization) . Likely getting/ Planning to get straight A's in each course. Work Experience: Data Scientist for a small Tech Company Letters of Recommendation: Have 3 professors from the statistics department who have agreed to write me letters, but I don't know them all too well. Will ask a manager at my company who is an Adjunct Data Analytics Professor and the CEO, who I have worked with often. Applying to Where (Current List): UCLA, Texas A&M_______UCSD, UCD, UCSC, UCSB, UCI, SDSU, Ohio State, Colorado State, U Conn, Penn State, U Colorado- Denver, U Virginia__________ San Jose State, Long Beach State, SF State Questions: 1) What could I do to improve my profile between now and when applications are due (Dec 2021)? 2) What schools do you think I could realistically get into? Should I change around my list of schools I'm applying to? I would like to stay within California due to cost if possible. 3) Should I try to go for just pure Stats or maybe Applied Stats? Is there a benefit acceptance wise for applying to Applied Stats programs? Will it hurt me a lot if I get into an applied stats program but decide to try for a PhD down the line? 4) Any target schools I'm missing that I should really check out? Thank you for taking the time to read my post, I'd appreciate any advice at all!