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    The Data Science Program includes online courses as part of the curriculum through Newman University partnership with Rize Education. This partnership offers students cutting-edge curriculum, greater scheduling flexibility, access to nationwide experts in the field, and access to even more resume-ready skills.

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    FAQs

    How rigorous is the Data Science curriculum?

    The curriculum is technically rigorous, with substantial emphasis on advanced mathematics, including Calculus, data structures, and programming. Students uncomfortable with intensive math should consider our Business Analytics program.

    Who should enroll in this program?

    Ideal for students passionate about technology, programming, analytics, and ethical data management, who aspire to careers in technical data roles.

    How is this program different from Business Analytics?

    Data Science emphasizes coding and predictive modeling skills, preparing students for programming-intensive roles. Business Analytics focuses on less technical, business-oriented analytical skills suitable for entry-level business roles.

    What makes your Data Science program unique?

    Our curriculum is continually updated with industry input, featuring hands-on projects, internship opportunities, and ethical AI practices, ensuring students graduate ready for current industry challenges.

  • Program Talking Points:
    Icon of a Target Specialized Focus Areas - Tailor your education with specializations in machine learning, natural language processing, and computer vision.
    Icon of a city Global Perspectives - Collaborate with international peers and gain understanding through diverse approaches to AI.
    Icon of a chartboard Cutting-Edge Facilities - Access state-of-the-art labs and resources, mirroring the environments you'll encounter in the AI industry.

The Data Science program at Newman University equips students with advanced skills in Python coding, predictive modeling, and artificial intelligence to analyze complex datasets and solve real-world problems.

Through hands-on experience and ethical practices, our graduates become leaders in transforming data into impactful decisions across industries.

Icon of a Target Specialized Focus Areas - Tailor your education with specializations in machine learning, natural language processing, and computer vision.
Icon of a city Global Perspectives - Collaborate with international peers and gain understanding through diverse approaches to AI.
Icon of a chartboard Cutting-Edge Facilities - Access state-of-the-art labs and resources, mirroring the environments you'll encounter in the AI industry.

Have Questions?

Request More Info

The Data Science Program includes online courses as part of the curriculum through Newman University partnership with Rize Education. This partnership offers students cutting-edge curriculum, greater scheduling flexibility, access to nationwide experts in the field, and access to even more resume-ready skills.

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Career Pathways
Data Science

Newman University’s Data Science program provides you with the knowledge and relevant skills to set you on the path to a fulfilling career.

Graduates from our Data Science program are prepared for rewarding roles, including:

  • Data Scientist
  • Data Engineer
  • Machine Learning Engineer
  • Data Researcher
  • AI Engineer (typically requires advanced degrees)
  • Graduate studies in Data Science or Statistics

Our Data Science curriculum emphasizes essential technical skills:

  • Python Programming
  • Data Manipulation and Visualization
  • Machine Learning and
  • AI Systems
  • Predictive Modeling
  • Ethical Data Practices

Programs in Data Science

Undergraduate Programs

Graduate Programs

Anthony Ferrante

"Dr. Straub encourages students to come in and talk to him about anything. He often said he wanted to be a mentor in life, not just in school. Going in, asking questions and building relationships with your advisor is key to your success in college."

Juan Cordova

"Newman gave me so much that I didn’t expect and wasn’t looking for. The experiences I’ve gotten here make me feel proud of myself. People at Newman know my name, they know where I’m from. Newman gave me so much that I didn’t expect and wasn’t looking for. The experiences I’ve gotten here make me feel proud of myself."

FAQs

How rigorous is the Data Science curriculum?

The curriculum is technically rigorous, with substantial emphasis on advanced mathematics, including Calculus, data structures, and programming. Students uncomfortable with intensive math should consider our Business Analytics program.

Who should enroll in this program?

Ideal for students passionate about technology, programming, analytics, and ethical data management, who aspire to careers in technical data roles.

How is this program different from Business Analytics?

Data Science emphasizes coding and predictive modeling skills, preparing students for programming-intensive roles. Business Analytics focuses on less technical, business-oriented analytical skills suitable for entry-level business roles.

What makes your Data Science program unique?

Our curriculum is continually updated with industry input, featuring hands-on projects, internship opportunities, and ethical AI practices, ensuring students graduate ready for current industry challenges.

  • Programs in Data Science

    Undergraduate Programs

    Graduate Programs

  • Business & Technology Faculty

  • Travel 09

    Career Pathways
    Data Science

    Newman University’s Data Science program provides you with the knowledge and relevant skills to set you on the path to a fulfilling career.

    Graduates from our Data Science program are prepared for rewarding roles, including:

    • Data Scientist
    • Data Engineer
    • Machine Learning Engineer
    • Data Researcher
    • AI Engineer (typically requires advanced degrees)
    • Graduate studies in Data Science or Statistics

    Our Data Science curriculum emphasizes essential technical skills:

    • Python Programming
    • Data Manipulation and Visualization
    • Machine Learning and
    • AI Systems
    • Predictive Modeling
    • Ethical Data Practices
  • Anthony Ferrante

    "Dr. Straub encourages students to come in and talk to him about anything. He often said he wanted to be a mentor in life, not just in school. Going in, asking questions and building relationships with your advisor is key to your success in college."

    Juan Cordova

    "Newman gave me so much that I didn’t expect and wasn’t looking for. The experiences I’ve gotten here make me feel proud of myself. People at Newman know my name, they know where I’m from. Newman gave me so much that I didn’t expect and wasn’t looking for. The experiences I’ve gotten here make me feel proud of myself."

Business & Technology Faculty

Dean, School of Business & Technology
School of Business & Technology
316-942-4291 ext. 2255
Office: MN219A
|Undergraduate Business|MBA
Professor of Business
School of Business & Technology
316-942-4291 ext. 2242
Office: MN203
|Undergraduate Business|MBA
Assistant Dean, MBA Program Director
School of Business & Technology
316-942-4291 ext. 2257
Office: MN208
|Undergraduate Business|MBA
Associate Professor of Accounting
School of Business & Technology
316-942-4291 ext. 2205
Office: MN204
|Undergraduate Business|MBA|Accounting
Assistant Professor of Mathematics
School of Business & Technology
316-942-4291 ext. 2247
Office: MN203
|Undergraduate Business|MBA
Assistant Professor of Computer Science
School of Business & Technology
316-942-4291 ext. 2228
Office: MN202
|Undergraduate Business|MBA
Administrative Coordinator
School of Business & Technology
316-942-4291 ext. 2292
Office: MN207
|Undergraduate Business|MBA
Assistant Professor of Data Science
School of Business & Technology
316-942-4291 ext. 2232
Office: MN201
|Undergraduate Business|MBA
Associate Professor
School of Business & Technology
316-942-4291 ext. 2296
Office: MN205
|Undergraduate Business
Director of Adult and Professional Studies
School of Business & Technology
316-942-4291 ext. 2439
Office: MN219
|Undergraduate Business|IDS|IBA|MBA|Communications

Adjunct Faculty

 
CRM Manager
Textron Aviation
 
Data Analyst
Cornerstone Data
 
Senior Manager, Data Analytics, Automation, AI & Data Governance
Textron Aviation

Industry Advisors

 
Data Scientist II
AGCO Corporation
 
Materials & Process Engineering Scientist III
Spirit Aerosystems
 
Senior Manager II, Space & Assortment Analytics
Walmart
 
Director of Enterprise Data Products & Strategy
Koch