Are you intrigued by the world of data analysis and considering pursuing a degree in data science? Look no further than Oklahoma! The Sooner State offers a thriving data science scene with numerous educational opportunities and a growing job market across various industries. In this comprehensive guide, we’ll explore the top data science degree programs in Oklahoma, discuss job prospects, and provide tips for choosing the right program to kickstart your data science career.
Explore data science careers in Oklahoma, where competitive salaries and job opportunities are abundant.
Undergraduate pathways to data science include mathematics, computer science, and statistics degrees from Oklahoma universities. Graduate programs offer master’s degree programs and graduate certificates with topics such as machine learning & artificial intelligence.
When choosing a program evaluate the curriculum, faculty expertise, reputation & ranking for best results!
Exploring Data Science Careers in Oklahoma
Oklahoma is a hidden gem for data scientists, with an expanding job market and competitive salaries, especially when considering the state’s low cost of living. With a variety of industries employing data scientists, such as:
📚 Data Science Programs By Skill Level
- Harvard University Data Science: Learn R Basics for Data Science
- Standford University Data Science: Introduction to Machine Learning
- UC Davis Data Science: Learn SQL Basics for Data Science
- IBM Data Science: Professional Certificate in Data Science
- IBM Data Analysis: Professional Certificate in Data Analytics
- Google Data Analysis: Professional Certificate in Data Analytics
- IBM Data Science: Professional Certificate in Python Data Science
- IBM Data Engineering Fundamentals: Python Basics for Data Science
- Harvard University Learning Python for Data Science: Introduction to Data Science with Python
- Harvard University Computer Science Courses: Using Python for Research
- IBM Python Data Science: Visualizing Data with Python
- DeepLearning.AI Data Science and Machine Learning: Deep Learning Specialization
- UC San Diego Data Science: Python for Data Science
- UC San Diego Data Science: Probability and Statistics in Data Science using Python
- Google Data Analysis: Professional Certificate in Advanced Data Analytics
- MIT Statistics and Data Science: Machine Learning with Python - from Linear Models to Deep Learning
- MIT Statistics and Data Science: MicroMasters® Program in Statistics and Data Science
🔎 Find Data Science Programs 👨💻 111,889 already enrolled
Disclaimer: Data Science Parichay is reader supported. When you purchase a course through a link on this site, we may earn a small commission at no additional cost to you. Earned commissions help support this website and its team of writers.
The demand for skilled professionals, who can enhance future performance, is on the rise.
Job Opportunities and Salaries
In Oklahoma, data scientists typically earn an average salary of about $80,040, though some regions may offer higher compensation. As a data scientist, you’ll be responsible for tasks like performing complex simulations to analyze data, providing insights, and predicting system performance. Opportunities are available in both private and public sectors, and popular job search platforms such as Indeed, LinkedIn, Glassdoor, ZipRecruiter, SimplyHired, and Monster often list data scientist positions in Oklahoma.
The salary range for data scientists varies depending on factors such as location, specialization, and years of experience. For instance, the salary range for specialized data scientists in Oklahoma is between $100,840 and $102,780. Additionally, Tulsa-based data scientists can expect a salary range between $80,040 and $90,200. Therefore, launching a career in data science in Oklahoma is a promising choice at this time.
Industries Employing Data Scientists in Oklahoma
Data scientists are in demand across various industries in Oklahoma, including small employ data scientists in sectors such as:
Aviation and aerospace: Data scientists play a crucial role in predictive maintenance, aircraft design, aircraft traffic management, and space exploration.
Biotechnology: Data scientists contribute to research and development, drug discovery, and genetic analysis.
Transportation and logistics: Data scientists help optimize supply chain operations, improve transportation efficiency, and enhance logistics planning.
In biotechnology, data scientists propel innovation by analyzing large datasets to discern patterns and trends that direct research and development endeavors. Data science also has a significant impact on the transportation and logistics industry, optimizing route planning, reducing fuel consumption, and improving operational efficiency through predictive analytics and machine learning techniques. By leveraging these techniques, companies can determine profitable lines and make informed decisions for their businesses.
With numerous data science projects and initiatives within the energy sector, Oklahoma is spearheading renewable energy initiatives such as:
It’s evident that data scientists in Oklahoma have ample opportunities to contribute to various industries and make a significant impact.
Future Growth Prospects
The need for data scientists in Oklahoma is projected to increase in the future. Factors contributing to this growth include:
The increasing amount of data
The adoption of AI and machine learning technologies by companies
The wide range of industries that employ data scientists.
Although the demand for data scientists in Oklahoma is comparatively lower than in the rest of the United States, industries such as aviation and aerospace, biotechnology, and transportation are anticipated to have the greatest demand for data scientists in the future.
Undergraduate Pathways to Data Science in Oklahoma
In Oklahoma, various undergraduate pathways are available for students aspiring to pursue a career in data science. Degrees in mathematics, computer science, and statistics are excellent starting points for aspiring data scientists. Top universities offering these degrees include Oklahoma State University and the University of Science and Arts of Oklahoma. These programs encompass a wide array of data science subjects including problem-solving with a search-oriented approach, representing knowledge, logical inference, AI languages, managing and ingesting data, storage engines, advanced math, statistics, databases, algorithm architecture, and business logic.
Studying mathematics lays a robust foundation for a career in data science by furnishing students with skills in applied math, statistics, and analytical thinking. Working with large datasets, analyzing data, and deriving insights from it require expertise in statistical methods, mathematical models, and problem-solving. Mathematics degrees often include coursework in programming and computer science, both of which are important for data science.
Core courses in a mathematics degree that are relevant to data science include:
Probability and Statistics
Data Analysis and Visualization
Computer Science Degrees
A computer science degree also covers essential data science topics, such as data structures, machine learning, artificial intelligence, big data, and databases.
Statistics degrees impart data analysis techniques to students, which are crucial for data science. These programs provide a strong foundation in statistical principles and data analysis techniques, preparing students for careers in data science.
Statistics degree programs in Oklahoma universities include courses in:
Research Methods/Experimental Design/Linear Algebra
Ethics in Statistical Practice
Statistical Consulting and Communication
Graduate Programs in Data Science and Analytics in Oklahoma
For individuals seeking advanced education in data science, Oklahoma provides several graduate programs, encompassing master’s degrees and graduate certificates. The University of Oklahoma and Oklahoma State University provide master’s degree programs in data science and analytics, while the University of Central Oklahoma and Oklahoma City University offer graduate certificates.
Master’s Degree Programs
Master’s degree programs in data science are available at the University of Oklahoma and Oklahoma State University. The University of Oklahoma offers a Master of Science in Data Science and Analytics program, while Oklahoma State University provides a Master’s degree program in data science called the MS in Business Analytics and Data Science (MS BAnDS).
These programs encompass a broad spectrum of data science subjects, including database management systems, computing structures, intelligent data analysis, machine learning, complex data visualization, and the ability to perform complex simulations.
Graduate Certificate Programs
Graduate certificate programs in data science and analytics are offered at the University of Oklahoma and Oklahoma State University. These programs provide a comprehensive overview of data science and analytics, with courses covering statistics, data management, data visualization, and programming.
The University of Oklahoma, for example, offers a Graduate Certificate in Data Science and Analytics, which requires 15 credit hours for completion and covers topics such as statistics, data management, and visualization.
Online Data Science Degree Options in Oklahoma
For individuals who value the convenience of distance learning, Oklahoma provides online data science degree options, such as master’s degree programs and graduate certificate programs. Both the University of Oklahoma and Oklahoma State University provide online master’s degree programs in data science, while the University of Central Oklahoma and Oklahoma City University offer online graduate certificate programs.
Online Master’s Degree Programs
Online master’s degree programs in data science are available at the University of Oklahoma and Oklahoma State University. The University of Oklahoma offers an online Master of Science in Data Science and Analytics program, while Oklahoma State University provides an online Master’s degree program in data science called the MS in Business Analytics and Data Science (MS BAnDS).
These online programs encompass fundamental data science topics, including database management systems, computing structures, smart data analysis, machine learning, and data visualization.
Online Graduate Certificate Programs
Online graduate certificate programs in data science are offered at the University of Oklahoma and Oklahoma State University. These programs provide a comprehensive overview of data science and analytics, with courses covering statistics, data management, data visualization, and programming.
The University of Oklahoma, for example, offers an online Graduate Certificate in Data Science and Analytics, which requires 15 credit hours for completion and covers topics such as statistics, data management, and visualization.
Alternative Ph.D. Programs with Data Science Focus in Oklahoma
In Oklahoma, students can engage in Ph.D. programs in computer science, statistics, and interdisciplinary fields with a focus on data science. These programs allow students to specialize in data science-related topics and conduct advanced research in the field.
Computer Science Ph.D. Programs
Computer science Ph.D. programs in Oklahoma allow students to specialize in data science-related topics such as data analytics, machine learning, computational neuroscience, and healthcare informatics. Oklahoma State University, University of Tulsa, and University of Oklahoma-Norman Campus are the prominent universities offering Computer Science Ph.D. programs in Oklahoma.
Statistics Ph.D. Programs
Statistics Ph.D. programs in Oklahoma can be tailored to focus on data science applications. These programs provide a strong foundation in statistical principles and data analysis techniques, preparing students for careers in data science.
Oklahoma State University, University of Tulsa, and Oklahoma City University are the leading universities offering Statistics Ph.D. programs in Oklahoma.
Interdisciplinary Ph.D. Programs
Interdisciplinary Ph.D. programs offer the opportunity to combine data science with other fields of study. These programs allow students to integrate data science with areas such as:
The University of Oklahoma offers a Ph.D. program with a data science focus through the Gallogly College of Engineering.
Key Skills and Courses for Data Science Success
Crucial skills and courses for succeeding in data science encompass programming languages, data visualization and analysis techniques, and machine learning and artificial intelligence.
Mastery of these skills and knowledge areas is essential for a successful career in data science.
Programming languages such as Python, R, and SQL are essential for data scientists. Here’s a breakdown of their uses:
Python: A highly versatile and powerful programming language, making it an ideal choice for data analysis and manipulation tasks.
R: Extensively utilized in data science, primarily for statistical analysis, data modeling, and visualization.
SQL: Used in data science to manage and modify structured data within database management systems, allowing data scientists to extract specific data from databases and perform data cleaning and transformation tasks.
Data Visualization and Analysis Techniques
Data visualization and analysis techniques help data scientists communicate insights effectively. Essential data visualization techniques for data science include:
Box and whisker plots
Data analysis techniques commonly used in data science include Classification, Regression, Clustering, Time series analysis, Sentiment analysis, and Algorithm analysis.
Machine Learning and Artificial Intelligence
Machine learning and artificial intelligence skills are increasingly important in the field of data science. Machine learning is a subsection of artificial intelligence that focuses on the development of algorithms that can be trained using data and become more efficient over time. Artificial intelligence is a more expansive discipline that incorporates machine learning, as well as other approaches such as natural language processing and computer vision.
Common machine learning algorithms employed in data science include:
Support vector machines
Artificial neural networks
Industry Partnerships and Internship Opportunities
Industry collaborations and internships can augment students’ data science education and career outlook. These opportunities provide students with real-world experience, allowing them to apply their skills in practical settings and gain valuable professional experience.
Industry partnerships provide students with real-world experience and networking opportunities. Partnerships with companies like Halliburton, CBRE, and Excellus BCBS offer internships for data science students in Oklahoma, giving them the chance to apply their skills in practical settings and gain valuable professional experience.
Internship opportunities allow students to apply their skills in practical settings and gain valuable experience. Students can locate data science internship opportunities in Oklahoma by:
Searching on job websites such as LinkedIn, ZipRecruiter, Indeed, and Chegg Internships
Contacting local companies and organizations
Utilizing career services at universities
Joining professional organizations and attending industry events.
Internships in Oklahoma prepare students for a career in data science by providing them with practical experience, industry exposure, and the chance to hone essential skills in data analysis.
Financial Aid and Scholarships for Data Science Students
In Oklahoma, data science students can avail themselves of financial aid and scholarships. Students can apply for financial aid through FAFSA and other sources, as well as scholarships and assistantships offered by universities and external organizations.
Students can apply for financial aid through the Free Application for Federal Student Aid (FAFSA) and other sources. Financial aid options may include grants, loans, work-study programs, and scholarships based on merit or financial need.
To determine eligibility for merit and need-based aid at Oklahoma State University, students should complete the FAFSA.
Scholarships and Assistantships
Scholarships and assistantships may be available through universities and external organizations. Some scholarships specifically designed for data science students in Oklahoma include:
The Data Scholarship Program at Dodge Family College of Arts and Sciences
Scholarships offered by the College of Mathematics and Science at the University of Central Oklahoma
The Devon Computer Science Scholarship at Oklahoma State University
The MIS Scholarships at the University of Oklahoma
Income-based scholarships, such as Oklahoma’s Promise, Horatio Alger Association Scholarships, and Finish Line Scholarship, are also available.
Tips for Choosing the Right Data Science Program in Oklahoma
The selection of the right data science program in Oklahoma entails scrutinizing the curriculum and faculty expertise, along with assessing the program’s reputation and ranking. By considering these factors, students can select a program that best suits their needs and prepares them for a successful career in data science.
Assessing Curriculum and Faculty Expertise
Look for programs with strong curricula and experienced faculty in data science. A quality curriculum should cover the fundamental skills that all data scientists require, such as programming, mathematics, and statistics, and provide a comprehensive overview of the tools, techniques, and knowledge necessary to become a successful data scientist.
When evaluating faculty expertise, consider the following factors:
Application of data science methods in real-world scenarios
Evaluating Program Reputation and Ranking
Consider program reputation and ranking when selecting a data science degree program. A program with a good reputation implies that it is highly esteemed by employers and industry experts, suggesting that the program provides quality education, pertinent curriculum, and valuable resources for students. A reputable program can increase job opportunities and open up possibilities for enhanced career prospects in the field of data science.
To accurately evaluate the reputation of a data science program in Oklahoma, research the program’s website, review rankings and reviews, and gather as much information as possible to make an informed decision. This will also help you predict system performance in the context of data science applications.
In summary, Oklahoma offers a wealth of opportunities for aspiring data scientists, with a wide range of degree programs, growing job market, and ample resources for success. By carefully evaluating curriculum, faculty expertise, program reputation, and available financial aid and scholarships, students can select the best data science program to meet their needs and prepare for a thriving career in this dynamic field.
Frequently Asked Questions
Which degree is best for data scientist?
For those interested in a data science career, a bachelor’s degree in data science, computer science or mathematics is the most common choice. Additional options include data analytics, statistics, information technology, business, engineering and physics.
Is Oklahoma State University good for data science?
With the 10th rank in Business Analytics and 7th in Data Science from Fortune, Oklahoma State University is an excellent choice for a data science degree.
Which is best program for data science?
Based on the top picks in 2023, Apache Spark, Jupyter Notebook, RapidMiner, and Apache Hadoop are the best programs for data science.
How much does University of Oklahoma data science cost?
The University of Oklahoma’s data science program costs $32,505 ($985 per credit hour) plus a $350 nonrefundable deposit, not including books and additional materials. Financial aid is available for qualifying students.
Which universities in Oklahoma offer data science degree programs?
University of Oklahoma, Oklahoma State University, University of Central Oklahoma, and Oklahoma City University all offer data science degree programs in Oklahoma.