
Lynn University

Florida
,United States

Program Name
Bachelor of Science in Data Analytics

Deadline
March 01st, 2024
Overview

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
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.

Duration
36 Months

Median Salary
$60,000

Intake
Fall ( Sept - Nov )

Intake
Spring ( Apr - June )
Class Profile


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Career Outcomes

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



















Eligibility Criteria
English Proficiency Tests
DUOLINGO
105
TOEFL
71
IELTS
6
PTE
50
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.
Transcript
Personal Statement
Resume
Academic LOR
Application Deadlines
Early Action 1 | Documents Deadline | Standard Deadline | Early Action 2 | Regular Decision | |
---|---|---|---|---|---|
Fall | Nov 15, 2023 | Feb 1, 2024 | N/A | Jan 15, 2024 | Mar 1, 2024 |
Spring | N/A | N/A | Dec 1, 2023 | N/A | N/A |
Fees and Funding

Tuition Fees
$41,200 / year
Funding Options
External Sources - Scholarships
Department Funding
Scholarships
The Lynn University Data Analytics Scholarship
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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