Avila University
Avila University

Avila University

11901 Wornall Road Kansas City, MO 64145 Kansas City, USA Visit web page

Data Science

Study detals

: Master's degree : MS in Data Science : Full time : 24 Month

Requirements

English Proficiency for Undergraduate Students

Students must meet English proficiency requirements through any of the following minimum standards. Please note that any English test score submitted must be dated within two years and be submitted by the examining body:

  • TOEFL exam – an overall score of at least 75 iBT
  • IELTS exam – an overall score of at least 6.0 with no individual band score below 5.5
  • Duolingo score of 110 or higher
  • Pearson PTE score of 50 or higher
  • Other approved English Language test or program with score consistent with above as determined by Avila admissions.

Applicants with a bachelor’s degree from an institution where the language of instruction is English, as indicated on a transcript.

Full-Time Requirement
You are required to be enrolled as a full-time student each semester due to the rules of your F-1 student visa. Avila’s policies regarding full-time enrollment are:

  • Graduate students must also be full-time each semester or session.
For all F-1 Students at Avila:
  • Always keeps your I-20 updated.
  • Request an extension of your I-20 at least 30 days before it expires.
  • Get a signature on your I-20 from Avila’s ISS in the Registrar’s office before you travel outside the U.S.
  • Keep your passport valid at all times while in the U.S.
  • Obtain your I-94 number
  • Be a full-time student at all times unless you have met very limited conditions, as will be explained by a DSO in Avila’s Registrar’s office.
  • Report any address change to the Registrar’s office within ten days.
  • Do not work more than 20 hours per week at Avila while classes are in session.
  • Meet with a DSO before beginning OPT (Optional Practical Training).

Maintaining your F-1 Student Visa Status

  • Be a full-time student each semester or session.
  • Do not work off-campus without DSO and USCIS approval.
  • Part-time enrollment is granted only under limited situations and must be approved by a DSO.
  • Get good grades and go to class. Dismissed students will have their I-20s terminated and need to return home immediately.
  • Notify the ISS office if you plan on going home and will not be taking courses during the next semester.
  • Make sure your I-20 is updated, signed when you travel, and does not expire.
  • Notify the ISS office if you plan on dropping all of your courses for any reason.

Speciality

You are required to notify Avila’s International Student Services office of any changes in your program or status. You are also required to understand the rules and responsibilities of your F-1 student status. As part of your responsibility, you must continue to provide information to Avila’s International Student Services in the Registrar’s office while you are a student and while you are on OPT. Failure to follow these policies could cause problems with re-entering the U.S. and your student status.

Postgraduate deposit = $5,000.

Additional information

The M.S. in Data Science program is designed to equip students with the analytical, computational, and business knowledge required to extract meaningful insights from complex data. Whether applied in corporate enterprises, research institutions, government, or nonprofit organizations, this program prepares students for high-impact roles in the evolving data-driven world.

This interdisciplinary program blends mathematics, statistics, programming, machine learning, and business intelligence. It emphasizes ethical data use, innovation, leadership, and strategic thinking to solve real-world problems using data.

Students will gain practical experience using leading tools in data analytics, machine learning, and artificial intelligence, while developing key leadership and communication skills to manage data-driven projects and teams.

  • Interpret and analyze large, complex data sets to inform decision-making and drive strategic growth.
  • Apply data science techniques including machine learning, data mining, predictive modeling, and statistical inference.
  • Utilize tools such as Python, R, SQL, and cloud-based analytics platforms to build and deploy data models.
  • Demonstrate leadership, innovation, and collaboration in multidisciplinary teams.
  • Evaluate the ethical implications and data governance concerns related to data use and privacy in today’s digital world.
  • Integrate business acumen with technical proficiency to deliver data solutions that align with organizational goals.

Potential Career Opportunities

  • Data Scientist
  • Machine Learning Engineer
  • Data Analyst
  • Business Intelligence Analyst
  • Data Engineer
  • Quantitative Analyst
  • AI/ML Researcher
  • Data Science Manager
  • Cloud Data Architect
  • Predictive Analytics Specialist
  • Big Data Engineer
  • Data Governance Analyst
  • Data and AI Strategy Consultant
  • Operations Research Analyst
  • Applied Statistician
  • Data Visualization Expert
  • Marketing Data Analyst
  • Healthcare Data Analyst
  • Financial Risk Analyst
  • NLP Specialist