logo
  • uni logo
uni logo

Webster University

flag

Missouri

United States

The Bachelor of Science in Data Analytics program at Webster University is an innovative, forward-thinking course designed to equip students with the essential skills needed to thrive in the rapidly evolving field of data analytics. As data becomes increasingly integral to decision-making across all sectors, this degree offers a comprehensive foundation in mathematics, statistics, and computer science, supplemented by specialized coursework in data mining, machine learning, and data visualization. The curriculum is meticulously designed not just to impart knowledge but to foster practical skills that are directly applicable in real-world scenarios.

Students enrolled in this program will engage in interactive and hands-on learning experiences that enhance theoretical understanding and practical application. The capstone project, a pivotal component of the program, allows students to tackle a genuine data analytics problem, synthesizing their learning into a tangible outcome. This project not only solidifies students' knowledge but also adds significant value to their portfolios, making them more attractive to potential employers. Additionally, the program's structure encourages teamwork and collaboration, reflecting industry practices that students are likely to encounter in their careers.

The faculty at Webster University comprises experienced professionals and academics who bring a wealth of knowledge and expertise to the classroom. With a focus on teaching methodologies that emphasize student engagement, faculty members utilize a mix of lectures, discussions, and practical lab sessions to ensure that students are not only passive recipients of information but active participants in their learning journey. Faculty advisors also play a crucial role in guiding students through their academic paths, helping them navigate course selections and career planning.

Research opportunities abound for students in the program, with access to state-of-the-art resources and facilities. Webster University encourages students to participate in research activities that extend beyond the classroom, allowing them to explore their interests in greater depth. Collaborations with industry partners also provide unique insights into current trends and challenges in data analytics, further enriching the educational experience. These interactions often lead to internship opportunities, where students can apply their skills in professional settings, gaining invaluable work experience and networking contacts.

Career pathways for graduates of the BS in Data Analytics are diverse and promising. With a robust foundation in data analysis, graduates are well-prepared for roles such as Data Analyst, Data Scientist, Business Analyst, and more. The program emphasizes the development of critical thinking and problem-solving skills, which are essential in today’s data-driven job market. Graduates have successfully secured positions at renowned organizations such as Google, IBM, and Deloitte, with an average base salary of around $60,000, signifying the strong demand for data analytics professionals in various industries.

Alumni success stories illustrate the impact of the program on graduates' careers. Many alumni have advanced quickly in their respective fields, attributing their success to the comprehensive education and extensive industry connections forged during their time at Webster University. Testimonials highlight the supportive community and the practical skills acquired throughout the program, which set them apart in the competitive landscape of data analytics.

Overall, the Bachelor of Science in Data Analytics at Webster University stands out due to its rigorous curriculum, experienced faculty, and strong industry connections. The holistic approach to education not only prepares students for immediate employment but also equips them with lifelong skills that will serve them in a rapidly changing technological landscape.

Why Study Data Analytics at Webster University

  • A well-structured curriculum that combines theoretical knowledge with practical skills.
  • Access to experienced faculty who bring real-world insights and mentorship.
  • Opportunities for internships and research collaborations with industry leaders.
  • A supportive learning environment that encourages student engagement and collaboration.
  • Strong career services and job placement support, helping students transition into the workforce.
  • Comprehensive training in data analytics with a focus on emerging technologies and trends.

The admission process for the Bachelor of Science in Data Analytics requires applicants to have a high school diploma or equivalent, with at least 15 credits in college-level coursework in mathematics, science, and English. A competitive GPA of 3.0 or higher is recommended, although students with a GPA of 2.5 may be considered on a case-by-case basis. Essential application materials include academic transcripts, a well-crafted statement of purpose, and letters of recommendation.

In conclusion, Webster University’s Bachelor of Science in Data Analytics offers a rich educational experience that stands at the intersection of technology and business. By choosing this program, students will not only gain critical insights into the world of data analytics but also acquire the skills necessary to make impactful contributions in their future careers. With a focus on practical application, robust curriculum, and strong industry ties, Webster University is an excellent choice for aspiring data professionals.

intake

Duration

48 Months

intake

Median Salary

$55,000

intake

Intake

Fall ( Sept - Nov )

Class Profile

intake

Class Size

25

intake

Average Age

22

intake

Average Work Experience

1 Years

Diversity

China:

10%

India:

5%

Others:

22%

Canada:

4%

United Kingdom:

3%

United States:

60%

Career Outcomes

intake

Median Earnings After Graduation

$55,000 / year

Prospective Job Roles

Statistician

Data Engineer

Software Engineer

Research Scientist

Database Administrator

Data Analyst

Quantitative Analyst

Data Scientist

Business Analyst

Machine Learning Engineer

Top recruiters

logo
logo
logo
logo
logo
logo
logo
logo
logo
logo

Eligibility Criteria

English Proficiency Tests

  • TOEFL

    80

    tooltip
  • IELTS

    6

    tooltip

Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

  • intake

    Transcript

  • intake

    Academic LOR

  • intake

    Resume

Application Deadlines

Standard Deadline
FallJun 1, 2023

Fees and Funding

intake

Tuition Fees

$29,640 / year

Funding Options

External Sources - Scholarships

Department Funding

To apply, submit a complete application for admission within a few weeks of the priority deadline for best results.

Scholarships

The Webster University Bachelor of Science in Data Analytics program is designed to prepare students for careers in the data analytics field. The program offers a strong foundation in mathematics, statistics, and computer science, as well as courses in data mining, machine learning, and data visualization. Students also complete a capstone project in which they apply their skills to a real-world data analytics problem.
  • icon

    The Google Data Analytics Scholarship

  • icon

    The Alfred P. Sloan Foundation

FAQs

  • A student can complete Data Analytics at Webster University with in 48.

  • The deadline to submit an admission application for Data Analytics at Webster University is Application deadline Fall (Standard Deadline) - date - 01/06/2023

  • The annual tuition fee to pursue Data Analytics at Webster University is USD 29640.

  • The submission of these scores mainly depends on the type of degree/ course selected at the Webster University. For example, the GMAT test is required to take admission to an abroad graduate management program, the LSAT is required during an abroad Law School admission process, and more. Therefore, check Webster University requirements before submitting a score.

  • Data Analytics can help Indian/ international students gain: 1. Quality and Practical Education 2. Global Recognition 3. International Exposure 4. Amazing Job Opportunities 5. Experience of Lifetime and more

  • If a student fulfils all the eligibility criteria and admission requirements of Webster University, they can easily pursue Data Analytics. The basic eligibility criteria include the following: 1. A GPA above 3 2. Well-written Statement of Purpose 3. An impressive Letter of Recommendation 4. A Work Experience Certificate (if required) 5. A Statement of Financial Proof 6. Academic Transcripts 7. Valid Visa, etc.

  • An MS degree at Webster University can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official Webster University website to check the course/ degree duration.

  • One can apply for scholarships to pursue their international education at Webster University by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.

Ready to elevate your study abroad journey?

Book a call with us now and take the first step towards your global future!

Connect with us on our social media

  • icon
  • icon
  • icon
  • icon