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Lynn University

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Florida

United States

The Bachelor of Science in Data Analytics at Lynn University is a highly sought-after degree program designed to equip students with essential skills and knowledge in the field of data analytics and applied social research. Over the years, this program has gained recognition for its innovative approach to education, aligning academic rigor with practical learning experiences. Students in this program will delve into an array of subjects that explore the foundational theories of data analytics while also focusing on real-world applications and advanced analytical techniques.

Throughout the course, students will encounter a comprehensive curriculum that covers critical areas such as data mining, statistical analysis, machine learning, and data visualization. The program is structured to ensure that students not only acquire theoretical knowledge but also engage in hands-on projects that mirror industry standards. This combination of theory and practice is what sets the BS in Data Analytics apart, preparing graduates for the fast-paced and ever-evolving landscape of data-driven decision-making.

One of the standout features of the program is the diverse and experienced faculty who bring a wealth of knowledge from various sectors, ensuring students receive guidance from professionals who are well-versed in the latest industry trends and technologies. Faculty members utilize a teaching methodology that encourages critical thinking, collaborative learning, and innovative problem-solving. This approach fosters a rich learning environment where students can thrive and develop their unique analytical capabilities.

In addition to a robust curriculum and expert faculty, Lynn University provides students with ample research opportunities and resources that further enhance their educational experience. Students have access to state-of-the-art laboratories and software tools that are crucial for conducting real-time analytics. The university also emphasizes partnerships with industry leaders, offering students unique internship opportunities and networking prospects that facilitate professional growth and employment readiness.

Graduates of the BS in Data Analytics program are well-prepared for a multitude of career pathways in high-demand roles such as Data Analyst, Database Administrator, Business Intelligence Analyst, and Data Scientist. The program’s emphasis on practical skills, combined with the university’s strong connections to industry giants like Google, IBM, and Deloitte, significantly enhances job placement rates for graduates. Furthermore, alumni of the program have consistently reported successful transitions into rewarding careers, underscoring the program's effectiveness in preparing students for the workforce.


Why Study Data Analytics at Lynn University?

  • A well-structured curriculum that includes hands-on learning experiences with state-of-the-art technology and software tools.
  • Faculty comprised of industry experts who bring real-world insights to the classroom, enhancing the learning experience.
  • Strong industry connections that provide numerous internship opportunities, ensuring students gain relevant work experience.
  • A diverse and collaborative learning environment that encourages innovation and creativity among students from different backgrounds.
  • Graduates report high employment rates and competitive salaries, with an average base salary of approximately $62,500 annually.


The program spans a total duration of 36 months and is offered in both Fall and Spring intakes, providing flexibility for prospective students. To be eligible for admission into the BS in Data Analytics, applicants must possess a high school diploma or equivalent and complete at least 15 college-level credits in math, science, and English. Additionally, students should maintain a minimum GPA of 3.0 during their studies to remain in good standing within the program.

The curriculum is meticulously designed to cover essential subjects, including but not limited to:

  • Data Mining and Statistical Analysis
  • Machine Learning Techniques
  • Data Visualization and Reporting
  • Applied Social Research Methodologies
  • Ethics in Data Analytics
This diverse subject matter prepares students for various roles within the analytics landscape, allowing them to choose a specialization that aligns with their career aspirations.


The Bachelor of Science in Data Analytics not only addresses the academic needs of students but also offers numerous opportunities for personal and professional development through workshops, seminars, and guest lectures by industry leaders. Students are encouraged to engage in research projects, fostering collaboration with faculty on innovative solutions to real-world issues. Access to resources, including advanced software and lab facilities, further empowers students to push the boundaries of traditional analytics.

Furthermore, Lynn University offers various scholarships, such as the Lynn University Data Analytics Scholarship, which covers full tuition for deserving students demonstrating financial need. This initiative reaffirms the university’s commitment to making quality education accessible to a diverse student population.

In conclusion, the BS in Data Analytics program at Lynn University is an excellent choice for students aspiring to carve out a career in the data analytics domain. By integrating a solid academic foundation, expert faculty guidance, practical experience, and strong industry connections, Lynn University prepares its graduates to excel in their chosen careers and make meaningful contributions to their fields.

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Duration

36 Months

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Median Salary

$60,000

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Intake

Fall ( Sept - Nov )

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Intake

Spring ( Apr - June )

Class Profile

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Career Outcomes

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Median Earnings After Graduation

$60,000 / year

Prospective Job Roles

Data Engineer

Database Administrator

Actuary

Information Security Analyst

UX Researcher

Business Intelligence Analyst

Marketing Analyst

Operations Analyst

Data Analyst

Financial Analyst

Quantitative Analyst

Risk Analyst

Data Scientist

Business Analyst

Operations Research Analyst

Statistician

Research Scientist

Software Engineer

Machine Learning Engineer

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • DUOLINGO

    105

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  • TOEFL

    71

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  • IELTS

    6

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  • PTE

    50

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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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    Personal Statement

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    Resume

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    Academic LOR

Application Deadlines

Early Action 1Documents DeadlineStandard DeadlineEarly Action 2Regular Decision
FallNov 15, 2023Feb 1, 2024N/AJan 15, 2024Mar 1, 2024
SpringN/AN/ADec 1, 2023N/AN/A

Fees and Funding

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Tuition Fees

$41,200 / 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 Lynn University Data Analytics Scholarship is a full-tuition scholarship that is awarded to students who demonstrate financial need and have a strong academic record. The scholarship is also based on a student's commitment to the field of data analytics and their ability to communicate effectively. To be eligible for the scholarship, students must be admitted to Lynn University and have a minimum GPA of 3.0. They must also submit a personal statement and a resume that highlights their academic achievements and their interest in data analytics.
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    The Lynn University Data Analytics Scholarship

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    The American Statistical Association Scholarship

FAQs

  • A student can complete Data Analytics at Lynn University with in 36.

  • The deadline to submit an admission application for Data Analytics at Lynn University is Application deadline Fall (Early Action 1) - date - 15/11/2023 ,Application deadline Fall (Documents Deadline) - date - 01/12/2023 ,Application deadline Spring (Standard Deadline) - date - 01/12/2023 ,Application deadline Fall (Early Action 2) - date - 15/01/2024 ,Application deadline Fall (Documents Deadline) - date - 01/02/2024 ,Application deadline Fall (Regular Decision) - date - 01/03/2024

  • The annual tuition fee to pursue Data Analytics at Lynn University is USD 41200.

  • The submission of these scores mainly depends on the type of degree/ course selected at the Lynn 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 Lynn 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 Lynn 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 Lynn 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 Lynn University website to check the course/ degree duration.

  • One can apply for scholarships to pursue their international education at Lynn 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.

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