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University of Indianapolis

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Indiana

United States

The Master of Science in Applied Data Science at the University of Indianapolis is designed to equip students with the critical skills and knowledge necessary to excel in the rapidly evolving field of data analytics and applied social research. This program stands out due to its comprehensive curriculum that not only focuses on technical skills but also emphasizes the importance of ethical considerations and social implications in data-driven decision-making. Throughout the course, students will gain a solid foundation in data collection, analysis, and interpretation, ensuring that they are well-prepared to tackle real-world challenges in various sectors.

The curriculum is meticulously structured to provide a blend of theoretical knowledge and practical application. Key courses include Statistical Methods in Data Science, Machine Learning, and Data Visualization Techniques, among others. Students will engage in hands-on projects that allow them to apply what they've learned in the classroom to real datasets, enhancing their analytical capabilities and problem-solving skills. Additionally, the program covers essential programming languages such as Python and R, equipping graduates with the tools necessary for data manipulation and analysis.

Faculty members at the University of Indianapolis are distinguished professionals with extensive experience in the fields of data science, analytics, and research. They employ a mix of innovative teaching methodologies, including active learning, case studies, and collaborative projects, fostering an environment that encourages critical thinking and creativity. This approach not only prepares students for academic success but also develops their ability to work effectively in teams, a crucial skill in the workforce. The faculty's commitment to mentoring students further enhances the educational experience, allowing for personalized guidance and support throughout their studies.

Research opportunities abound within this program, with access to state-of-the-art facilities and resources. Students can engage in various research initiatives, contributing to projects that address pressing social issues through data insights. This involvement not only sharpens their research skills but also positions them as valuable contributors to the academic community. Moreover, the university has established partnerships with local industries, providing students with excellent internship possibilities that bridge the gap between theory and practice. These connections often lead to job placements, underscoring the program's dedication to student success.

Graduates of the Master of Science in Applied Data Science find themselves well-equipped to pursue diverse career pathways in the data analytics sector. Prospective job roles include Data Scientist, Statistician, Business Intelligence Analyst, and Machine Learning Engineer, among others. The average base salary for graduates hovers around $70,000, with many alumni reporting successful placements in reputable organizations. Additionally, alumni testimonials highlight the program's rigorous training and its effectiveness in preparing them for the challenges of a competitive job market.

Unique features that set this program apart include the emphasis on ethical data practices and social responsibility. The curriculum integrates discussions on the ethical implications of data use and the societal impact of data-driven decisions, preparing students not only to be skilled analysts but also responsible stewards of data. This focus on ethics is increasingly significant in today’s data-centric world, making graduates from the University of Indianapolis particularly attractive to employers seeking conscientious data professionals.

Admission into the program requires a bachelor's degree from an accredited institution, along with a completed application that includes a transcript, resume, and a personal statement. Additionally, international students must demonstrate English proficiency through standardized tests such as the TOEFL or IELTS, ensuring that they can thrive in an academic environment where English is the medium of instruction.

Why Study Applied Data Science at University of Indianapolis

  • A popular choice for international students with a diverse community and strong support systems.
  • Learn from a distinguished faculty with real-world experience and the opportunity to engage in collaborative research.
  • Access to cutting-edge laboratories and software tools that facilitate hands-on learning and innovative research projects.
  • Robust industry connections and internship programs that enhance employability and provide practical experience.
  • A strong emphasis on ethical practices in data science, preparing students to make responsible decisions in their careers.

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Duration

24 Months

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Median Salary

$70,000

Class Profile

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Class Size

30

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Average Age

28

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Average Work Experience

3 Years

Diversity

Ohio:

15%

Others:

10%

International:

5%

Others:

5%

Illinois:

20%

Indiana:

45%

Career Outcomes

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Median Earnings After Graduation

$70,000 / year

Prospective Job Roles

Statistician

Data Engineer

Data Visualization Specialist

Software Engineer

Research Scientist

Data Security Specialist

Business Intelligence Analyst

Database Administrator

Data Analyst

DevOps Engineer

Quantitative Analyst

Data Scientist

Business Analyst

Big Data Engineer

Data Architect

IT Analyst

Cloud Engineer

Machine Learning Engineer

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • TOEFL

    79

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  • IELTS

    6.5

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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.

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    Transcript

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    Resume

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    Personal Statement

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    Academic LOR

Application Deadlines

Fees and Funding

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Tuition Fees

$10,080 / 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 University of Indianapolis offers a variety of scholarships for students pursuing a master's degree in applied data science. These scholarships are based on academic merit, financial need, and other criteria. Some of the scholarships that are available include the following: * The University of Indianapolis Presidential Scholarship: This scholarship is awarded to students with a high GPA and a strong academic record. * The University of Indianapolis Dean's Scholarship: This scholarship is awarded to students with a strong academic record and a demonstrated interest in applied data science. * The University of Indianapolis Alumni Scholarship: This scholarship is awarded to students who are alumni of the University of Indianapolis. * The University of Indianapolis Diversity Scholarship: This scholarship is awarded to students who are members of a minority group. * The University of Indianapolis Financial Aid Scholarship: This scholarship is awarded to students who demonstrate financial need. In addition to these scholarships, the University of Indianapolis also offers a variety of other financial aid options, such as loans, grants, and work-study programs. Students who are interested in applying for financial aid should contact the Office of Financial Aid at the University of Indianapolis.

FAQs

  • The submission of these scores mainly depends on the type of degree/ course selected at the University of Indianapolis. 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 University of Indianapolis requirements before submitting a score.

  • Applied Data Science 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 University of Indianapolis, they can easily pursue Applied Data Science. 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 University of Indianapolis can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official University of Indianapolis website to check the course/ degree duration.

  • One can apply for scholarships to pursue their international education at University of Indianapolis 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.

  • A student can complete Applied Data Science at University of Indianapolis with in 24.

  • The application fee to pursue Applied Data Science at University of Indianapolis is USD 70 for international students.

  • The annual tuition fee to pursue Applied Data Science at University of Indianapolis is USD 10080.

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