Explore jobs
Find specific jobs
Explore careers
Explore professions
Best companies
Explore companies
There are several educational requirements to become a sciences dean. Sciences deans usually study biology, psychology, or educational leadership. 44% of sciences deans hold a bachelor's degree, and 29% hold an master's degree. We analyzed 70 real sciences dean resumes to see exactly what sciences dean education sections show.
The most common colleges for sciences deans are the University of California - Davis and the University of California - Davis.
There are also many online sciences dean courses to help get the education required to be a sciences dean.
| Sciences dean common college | Percentages |
|---|---|
| University of California - Davis | 8.33% |
| The University of Texas at Arlington | 8.33% |
| Pennsylvania State University | 8.33% |
| University of Maryland - College Park | 8.33% |
| University of Northern Iowa | 4.17% |
| Rank | Major | Percentages |
|---|---|---|
| 1 | Biology | 11.4% |
| 2 | Psychology | 11.4% |
| 3 | Educational Leadership | 9.1% |
| 4 | General Education, Specific Areas | 9.1% |
| 5 | Business | 6.8% |
The best colleges for sciences deans are Northwestern University, Columbia University in the City of New York, and University of Pennsylvania.
A sciences dean with advanced education typically earns a higher salary and has access to better jobs. That's why Zippia looked into the best colleges for sciences deans. We based this list on several metrics: admissions rate, retention rate, mean earnings of graduates, the ratio of working vs. non-working students ten years after admission, the average cost of attendance, and median debt for graduates who become sciences deans.
Chapel Hill, NC • Private
In-state tuition
$8,987
Enrollment
18,946
Evanston, IL • Private
In-state tuition
$54,568
Enrollment
8,451
New York, NY • Private
In-state tuition
$59,430
Enrollment
8,216
Philadelphia, PA • Private
In-state tuition
$55,584
Enrollment
10,764
Los Angeles, CA • Private
In-state tuition
$56,225
Enrollment
19,548
Cambridge, MA • Private
In-state tuition
$50,420
Enrollment
7,582
Buffalo, NY • Private
In-state tuition
$10,099
Enrollment
21,404
Nashville, TN • Private
In-state tuition
$49,816
Enrollment
6,840
Ann Arbor, MI • Private
In-state tuition
$15,262
Enrollment
30,079
Berkeley, CA • Private
In-state tuition
$14,184
Enrollment
30,845
1. Statistical Inference for Estimation in Data Science
This course introduces statistical inference, sampling distributions, and confidence intervals. Students will learn how to define and construct good estimators, method of moments estimation, maximum likelihood estimation, and methods of constructing confidence intervals that will extend to more general settings. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary...
2. Data Science Foundations: Statistical Inference
This program is designed to provide the learner with a solid foundation in probability theory to prepare for the broader study of statistics. It will also introduce the learner to the fundamentals of statistics and statistical theory and will equip the learner with the skills required to perform fundamental statistical analysis of a data set in the R programming language.\n\nThis specialization can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS)...
3. Effective Academic Writing: Write Papers that Get Results
The what-you-need-to-know course on effective academic writing in the social sciences...
4. Double Your Academic Writing Quality: Practical Writing Tips
Learn principles, practices for writing with meaning and clarity to complete your academic writing project on time...
5. Statistical Learning for Data Science
Statistical Learning is a crucial specialization for those pursuing a career in data science or seeking to enhance their expertise in the field. This program builds upon your foundational knowledge of statistics and equips you with advanced techniques for model selection, including regression, classification, trees, SVM, unsupervised learning, splines, and resampling methods. Additionally, you will gain an in-depth understanding of coefficient estimation and interpretation, which will be...
6. Vital Skills for Data Science
Vital Skills for Data Science introduces students to several areas that every data scientist should be familiar with. Each of the topics is a field in itself. This specialization provides a "taste" of each of these areas which will allow the student to determine if any of these areas is something they want to explore further. In this specialization, students will learn about different applications of data science and how to apply the steps in a data science process to real life data. They will...
7. Academic Writing Essentials: University Writing Crash Course
Learn the strategies, tools, and secrets to write successfully at the university level...
8. Data Science: Complete Data Science & Machine Learning
Learn and master the Data Science, Python for Machine Learning, Math for Machine Learning, Statistics for Data Science...
9. Statistical Inference and Hypothesis Testing in Data Science Applications
This course will focus on theory and implementation of hypothesis testing, especially as it relates to applications in data science. Students will learn to use hypothesis tests to make informed decisions from data. Special attention will be given to the general logic of hypothesis testing, error and error rates, power, simulation, and the correct computation and interpretation of p-values. Attention will also be given to the misuse of testing concepts, especially p-values, and the ethical...
10. Statistical Modeling for Data Science Applications
Statistical modeling lies at the heart of data science. Well crafted statistical models allow data scientists to draw conclusions about the world from the limited information present in their data. In this three credit sequence, learners will add some intermediate and advanced statistical modeling techniques to their data science toolkit. In particular, learners will become proficient in the theory and application of linear regression analysis; ANOVA and experimental design; and generalized...
11. Academic Writing: 10 Essential Essays You Should Know
Achieve academic essay success by learning how to write 10 unique and common essays in this step by step course...
12. Writing Academic English for Beginner
The Writing Process, Academic Style, Using Sources, Organising...
13. Data Science Methods for Quality Improvement
Data analysis skills are widely sought by employers, both nationally and internationally. This specialization is ideal for anyone interested in data analysis for improving quality and processes in business and industry. The skills taught in this specialization have been used extensively to improve business performance, quality, and reliability.\n\nBy completing this specialization, you will improve your ability to analyze data and interpret results as well as gain new skills, such as using...
14. PTE Academic Exam Preparation: Writing Mastery (Achieve 79+)
Complete preparation tutorials from an experienced native teacher to succeed in the Writing section of the PTE exam...
15. The Data Science Course: Complete Data Science Bootcamp 2023
Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning...
16. Academic Word List: Learn the Most Common Academic Words
Learn the 570 most frequent academic words. Essential for IELTS, TOEFL, TOEIC and Cambridge Exams...
17. Introduction to Machine Learning for Data Science
A primer on Machine Learning for Data Science. Revealed for everyday people, by the Backyard Data Scientist...
18. Data Science: Master Machine Learning Without Coding
Learn Fundamentals Of Data Science & Machine Learning With Rapidminer (No Coding). Dataset & Solutions Included...
19. Data Science with Python Complete Course
Data Science 2021 : Complete Data Science...
20. Mastering Data Science and Machine Learning Fundamentals
Data Science & Machine Learning- Data Science, Machine Learning, Regression, Classification and Clustering [THEORY ONLY]...
The most affordable schools for sciences deans are University of Florida, california state university - long beach, and baruch college of the city university of new york.
If the best universities for sciences deans are out of your price range, check out these affordable schools. After factoring in in-state tuition and fees, the average cost of attendance, admissions rate, average net price, and mean earnings after six years, we found that these are the most affordable schools for sciences deans.
Gainesville, FL • Private
In-state tuition
$6,381
Cost of attendance
21,034
Long Beach, CA • Private
In-state tuition
$6,798
Cost of attendance
18,306
New York, NY • Private
In-state tuition
$7,262
Cost of attendance
14,046
Tallahassee, FL • Private
In-state tuition
$5,656
Cost of attendance
21,623
Brooklyn, NY • Private
In-state tuition
$7,240
Cost of attendance
13,991
Los Angeles, CA • Private
In-state tuition
$6,749
Cost of attendance
14,823
Tampa, FL • Private
In-state tuition
$6,410
Cost of attendance
20,456
Chapel Hill, NC • Private
In-state tuition
$8,987
Cost of attendance
25,527
Bronx, NY • Private
In-state tuition
$7,210
Cost of attendance
14,359
Fullerton, CA • Private
In-state tuition
$6,886
Cost of attendance
17,645
The hardest universities for sciences deans to get into are Northwestern University, Columbia University in the City of New York, and University of Pennsylvania.
Some great schools for sciences deans are hard to get into, but they also set your career up for greater success. The list below shows the most challenging universities to get into for sciences deans based on an institution's admissions rates, average SAT scores accepted, median ACT scores accepted, and mean earnings of students six years after admission.
Evanston, IL • Private
Admissions rate
8%
SAT average
1,508
New York, NY • Private
Admissions rate
6%
SAT average
1,512
Philadelphia, PA • Private
Admissions rate
8%
SAT average
1,492
Nashville, TN • Private
Admissions rate
10%
SAT average
1,514
Cambridge, MA • Private
Admissions rate
5%
SAT average
1,520
Baltimore, MD • Private
Admissions rate
11%
SAT average
1,513
Los Angeles, CA • Private
Admissions rate
13%
SAT average
1,445
New York, NY • Private
Admissions rate
20%
SAT average
1,419
Berkeley, CA • Private
Admissions rate
15%
SAT average
1,448
Saint Louis, MO • Private
Admissions rate
15%
SAT average
1,506
The easiest schools for sciences deans to get into are Barry University, mount saint mary's university, and wayland baptist university.
Some schools are much easier to get into. If you want to start your career as a sciences dean without much hassle, check out the list of schools where you will be accepted in no time. We compiled admissions rates, average SAT scores, average ACT scores, and average salary of students six years after graduation to uncover which were the easiest schools to get into for sciences deans.
Miami, FL • Private
Admissions rate
91%
SAT average
1,006
Los Angeles, CA • Private
Admissions rate
84%
SAT average
1,031
Plainview, TX • Private
Admissions rate
98%
SAT average
1,003
Odessa, TX • Private
Admissions rate
91%
SAT average
1,046
San Antonio, TX • Private
Admissions rate
88%
SAT average
1,044
Cleveland, OH • Private
Admissions rate
90%
SAT average
994
Lacey, WA • Private
Admissions rate
96%
SAT average
1,111
Gwynedd Valley, PA • Private
Admissions rate
92%
SAT average
1,031
Baltimore, MD • Private
Admissions rate
88%
SAT average
1,069
San Francisco, CA • Private
Admissions rate
72%
SAT average
1,054
| Sciences dean education level | Sciences dean salary |
|---|---|
| Master's Degree | $100,500 |
| Doctorate Degree | $123,392 |