Top Data Science Degree Programs in Oklahoma: Your Gateway to the World of Data Analysis

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.

Key Takeaways

  • 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:

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:

  • Geothermal projects

  • Solar projects

  • Hydrogen projects

  • Wind projects

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.

Mathematics Degrees

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

  • Linear Algebra

  • Calculus

  • Mathematical Modeling

  • Optimization Theory

  • Data Analysis and Visualization

Computer Science Degrees

Degrees in computer science equip data scientists with vital programming and algorithm skills. Students learn programming languages such as Java, C++, Python, and JavaScript, as well as various algorithms like sorting algorithms (e.g., bubble sort, merge sort), searching algorithms (e.g., binary search), graph algorithms (e.g., Dijkstra’s algorithm), and dynamic programming algorithms.

A computer science degree also covers essential data science topics, such as data structures, machine learning, artificial intelligence, big data, and databases.

Statistics Degrees

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:

  • Calculus III

  • Introductory Statistics

  • Intermediate Statistics

  • Research Methods/Experimental Design/Linear Algebra

  • Ethics in Statistical Practice

  • Statistical Consulting and Communication

  • Probability Theory

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:

  • Computer science

  • Information science

  • Analytics

  • Statistics

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

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:

  • Pie charts

  • Line plots

  • Bar plots

  • Histograms

  • Box and whisker plots

  • Scatter plots

  • Bubble plots

  • Treemaps

  • Heat maps

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:

  • K-Nearest Neighbors

  • Decision trees

  • Support vector machines

  • Naive Bayes

  • Linear regression

  • Logistic regression

  • Artificial neural networks

  • Random forest

  • Gradient boosting

  • Clustering

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

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

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.

Financial Aid

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:

  • Educational background

  • Professional credentials

  • Certifications

  • Professional experience

  • 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.

Summary

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.

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