Bachelors in Data Science
School of Science & Engineering
Academic Freedom to Discover Your Purpose
Open Curriculum Design at Atlantic International University
A bachelors in data science is a multi-faceted degree of study which incorporates elements from three academic disciplines; computer science, mathematics and statistics. The purpose of these studies is to give students the skills they need to gather, analyse and interpret information from data so they can make better choices/decisions. Among other things bachelor degree in data science students will gain skills in computer coding, database management, machine learning, information visualisation, statistical modelling and Artificial Intelligence (AI) to solve challenging real-life issues across the multi-disciplined sectors of healthcare, finance, business and technology.
Typically, students complete their data science bachelor degree over the first 4 years with practical project work, full-time internship experience (if required), and final Capstone project to demonstrate all the knowledge and skills they developed in the program. Graduates of a BSc data science degree program can seek employment as a Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Professional, or continue their education in a related field.
Contact Us Today!
Begin Your Journey!
AIU’s Summer of Innovation and Growth gives you the ability to earn up to $5000 in tuition credit by completing free lessons and courses.
Whether you’re looking to acquire new skills, advance your career, or simply explore new interests, AIU is your gateway to a world of opportunities. With free access to 3400 lessons and hundreds of courses the ability to earn credits and earn certificates there’s no better time to start learning.
Join us today as a Guest Student and take the first step towards a brighter, more empowered future.
Explore. Learn. Achieve.
Core Courses & Topics : Bachelors in Data Science
Important: Below is an example of the topics or areas you may develop and work on during your studies. By no means is it a complete or required list, as AIU programs do not follow a standardized curriculum. It is meant solely as a reference point and example. Want to learn more about the curriculum design at AIU? Check here: Course and Curriculum
The Bachelor of Science in Data Science equips students with a well-rounded educational and practical basis to support their ability to collect, analyze, process, make decisions based on data and see patterns in their results. The curriculum teaches learners how to work with advanced technologies like machine learning and artificial intelligence while developing the ability to collect, analyze, interpret, and visualize data. The students learn to apply their theoretical understanding to practical applications through a combination of lectures and laboratory experiences, gaining experience solving actual business, scientific and technical problems.
- Introduction to Data Science
- Programming Fundamentals
- Python and R for Data Analysis
- Database Management Systems
- Data Visualization
- Machine Learning
- Big Data Analytics
- Data Mining
Orientation Courses : Bachelors in Data Science
The orientation classes available in AIU that offer undergraduate data science degree introduce science bachelor degree data science students to new learning techniques (school life) and all fundamental levels of calculus and statistics necessary for students to perform well in a data science career. In these courses students will learn how to apply for data, acquire digital literacy, develop good verbal written communication skills and understand the ethics and professionalism attached to the industry of data-driven businesses. Additionally, these online bachelors in data science classes will introduce students to several different industries that use data so they will have knowledge of multiple industries by the time they reach higher technical courses and will have extensive knowledge concerning practical problem-solving.
- Communication & Investigation (Comprehensive Resume)
- Organization Theory (Portfolio)
- Experiential Learning (Autobiography)
- Seminar Administrative Development (Book Summary)
- Seminar Cultural Development (Practical Experience)
- Seminar International Development (Publications)
Research Projects : Bachelors in Data Science
Through hands-on experience and experimentality, students in a Bachelors in Data Science program develop their theoretical knowledge of data science to apply real-world solutions to data-driven issues with practical applications.
Students of undergraduate course syllabus students who complete bachelor’s degree research projects in relation to data science can create and test theories related to data-driven issue resolution in various industries, including health care, financial services, retail sales, educational systems, and high technology, to name a few.
As part of their accredited data science bachelor degree research project, students learn about collecting and analyzing data, developing predictive models, applying machine learning techniques, and using visualization tools; as well as developing their critical thinking skills, research skills, and problem-solving skills.
Some Data Science and AI Course research projects within the context of a best bachelors in data science programs consist of case studies, industry-related assignments, and a final capstone project designed to provide students with an opportunity to demonstrate their ability to analyze large and complex datasets and draw out meaningful and relevant findings to help organizations make informed decisions.
- MBM300 Thesis Proposal
- MBM302 Bachelor Thesis (5,000 words)
Publication – Students pursuing an affordable data science degree online at AIU are provided with opportunities to publish research findings, analysis insights, and creative solutions in collegiate and professional communities via student publications. Types of publications can include research papers, case studies, technical reports, creating a data analysis project, and presenting at conferences; all publications concentrate on real-life applications of data science. By publishing their work, students not only add experience to the academic world, but also develop the ability to write academically, critically think and communicate professionally, as well as having created important contributions to the body of knowledge related to machine learning, AI, predictive analytics, and big data. This opportunity to publish enables students to enhance their career options and become better prepared for graduate school and to become leaders in their industry.
Are You Ready to Apply for Bachelors in Data Science at AIU ?
Click Here
Bachelors in Data Science Student Experience
Atlantic International University (AIU) uses a new type of technology called Artificial Intelligence (AI) to help achieve an individualized, flexible, and technology-enhanced student experience within its bachelors in data science program. AIU students have access to advanced AI tools that assist them in developing personalized learning pathways, receiving intelligent academic advising, receiving guidance in conducting research, and instantaneously accessing global knowledge repositories. Students can access over 3,824 data analytics minicourses, 750 live classes, 434 webinars, big data virtual labs, and over 260,000 books, through AIU’s innovative Virtual Campus to be able to develop predictive modeling practical skills at their own pace within a continuous machine learning support learning environment that fosters critical thinking, independent research and professional development based on the current needs of the professional industry.
Community & Social
Students enrolled in the Bachelor of Data Science program are encouraged to develop their analytical skills and contribute positively to society through their use of technical skills and knowledge gained through the program via contributions to the community. The goal of these students is to provide solutions that are data driven for use in solving real work challenges around social issues, environmental concerns, health care, and business problems that have developed or exist in their respective communities. In addition, the program provides students the opportunity to develop their leadership, ethical awareness, and a general sense of global citizenship through collaborative projects, research initiatives or internships, and participation in socially responsible programs. Moreover, the program will provide students with an understanding of the role of data science in furthering sustainable development, enhancing decision making, and promoting social change at a local and global level.
Academic Resources
The Bachelor of Science in Data Science program provides students with the best academic support for their success in both their education and career. You have access to data visualization e-libraries; research databases; virtual labs; AI-assisted statistical analysis learning tools; journals; webinars; live classes; and interactive learning environments that increase your understanding of theory as well as give you the tools to apply it practically. This will help you develop independent research skills, technical expertise and problem-solving abilities within the context of machine learning, big data and analytics. Additionally, you will receive guidance from your instructors, academic counselling services and global networking opportunities to help you grow as a student and prepare to enter the workforce.
Virtual Campus
Complete assignments online or offline at your convenience with 24/7 access to distance learning through AIU’s Virtual Campus. Step by Step guides including videos, tutorials, live webinars and examples for each course. All materials can be access on all web browsers as well as via AIU's Mobile App which brings all the features of the Virtual Camus to your Mobile Device.
My AIU Elements
MyAIU’s primary goal is to go beyond Academics, it looks to guide students through 11 elements that are key to living life optimally in all aspects. By identifying and reflecting on these key areas, an opportunity arises to holistically address them, through positive change, habits, reinforcement and tools to keep students on their chosen path.
AIU TV & Radio
The students have the opportunity to produce, edit and host their own show reaching a worldwide audience, the AIU community and giving notice of their expertise/passion in the subject. AIUTV & AIU Radio allow students to explore new ways to communicate, develop a platform and form potential collaboration with likeminded individuals.
AIU Campus Mundi
AIU Campus Mundi is a monthly magazine that gathers the most notable news and information about the university and its members in one convenient place. The magazine allows our community to be well informed, involved and keep in tough regardless of their geographic location. AIU Campus Mundi publishes, news, research, events, awards, academic achievements.
Graduation Ceremony
Each year AIU organizes graduation ceremonies where the students can assist and share their experiences with fellow students and academic members Participation in the ceremony is optional, the day’s events include conferences, research presentations, group meetings, networking, lunch and formal dinner.
Symposiums & Webinars
Studying on the Bachelors in Data Science degree program will give students further opportunity to conduct research, collaborate with each other and have the opportunity to connect with academic and industry experts around the world through symposium events. Attending symposiums increases student engagement by giving them access to current trends, innovations and challenges related to artificial intelligence.
Live Classes
The bachelors in data science degree at AIU consists of two daily live classes which promote an interactive and dynamic learning environment that continually promotes academic advancement by providing students with opportunities to interact with professors and other students from across the globe while discussing key concepts, practical applications, and the latest developments in data science during daily sessions as they relate to machine learning, programming languages, and data, artificial intelligence, and general research methodology.
Students are able to utilize discussion time as a means of reinforcing their knowledge by collaborating with classmates and receiving immediate academic assistance in a flexible online setting.
Special Projects, Research Publications, & Co-Authoring
Students who are enrolled in the Bachelors in Data Science Academic Program can obtain a greater academic depth through experiential learning during their studies with opportunities for special projects, research publications and co-authoring opportunities. Students will work on specialized projects that address real-world issues related to Data Analytics, Machine Learning, Artificial Intelligence (AI) and Predictive Modeling using quantitative methods for real world applications. Students will often develop collaborative research papers, case studies and academic publications with their instructors, members of the community, and their peers who participate in the research process. Graduating from these special projects will enhance students’ analytical thinking, academic writing, professional credibility in the workplace while simultaneously preparing them for future leadership roles, further academic training and rewarding careers in the field of Global Data Science.
Explore AIU’s Interactive Virtual Campus
Get Started
Career Center for Bachelors in Data Science
The Bachelor of Data Science program’s Career Center provides participants with the tools and resources they need to ensure a seamless transition from school to work. At the Career Center, students and alumni will receive support in a number of areas related to their specific interests in the data science field, as well as general career-related support. In addition to providing career support through career planning, resume writing, interview preparation, personal branding, and job search skills, the Career Center also hosts networking events, helps students find internships, connects them with industry professionals, and offers a variety of career development workshops to prepare students for different types of jobs in the workforce (data analyst, data scientist, machine learning engineer, business intelligence specialist, etc.). The resources provided at the Career Center will help improve students’ job readiness, increase employability and enhance opportunities for advancement in their chosen career.
Job Description
Data Scientists that have received a Bachelor’s degree are able to find jobs in various types of companies including but not limited to Technology, Medical, Financial, Educators, Marketers and Business Intelligence. Students will develop a strong skill set in analytics, programming, machine learning, and data interpretation that allows them to develop solutions to complex problems and help companies make strategic business decisions. With this course, students also get ready for the advanced courses like Master’s in Computer Science. These data science professionals have an essential job of turning raw data into actionable insights that lead to innovative products/services as well as help create an environment that encourages business growth and longevity.
- Data Scientist
- Data Analyst
- Business Intelligence Analyst
- Machine Learning Engineer
- Data Engineer
- Artificial Intelligence Specialist
- Big Data Analyst
- Predictive Analytics Specialist
- Database Administrator
- Statistical Analyst
- Research Data Analyst
- Financial Data Analyst
- Healthcare Data Analyst
- Marketing Analytics Manager
Tools for Bachelors in Data Science
A Bachelor’s Degree in Data Science prepares students to work with the best tools in the field, utilize those tools to analyze and visualize data, program computers to manage and manipulate data, build machine learning models, and develop business intelligence solutions. Using these tools assists students in developing practical abilities with large volumes of data by providing them with experience handling vast amounts of data; creating predictive models; designing dashboards; and providing solutions to actual business issues. Once acquiring mastery of these platforms, students will be prepared to enter the competitive workforce in roles related to analytics, artificial intelligence, and data-driven decision-making in an array of different sectors.
- Python – Official Website
- R Programming – https://www.r-project.org/
- SQL – https://www.mysql.com/
- Tableau – Official Website
- Power BI – https://powerbi.microsoft.com/
- Apache Hadoop – https://hadoop.apache.org/
- Apache Spark – https://spark.apache.org/
- Jupyter Notebook – https://jupyter.org/
- TensorFlow – https://www.tensorflow.org/
- Scikit-learn – https://scikit-learn.org/
- MongoDB – https://www.mongodb.com/
- Excel for Data Analytics – https://www.microsoft.com/excel
Associations for Bachelors in Data Science Professionals
The Bachelors in Data Science students at this university are encouraged to become a member of a professional organization(s) and/or an industry network that promotes lifelong learning, research, and career development. Members of these associations typically have access to conferences, certifications, publications, mentoring, and international professional communities throughout various python programming industries such as data analytics (DA), artificial intelligence (AI), computer science (CS), and business intelligence (BI). Being a part of any artificial intelligence or business intelligence organization enables students to keep up-to-date with industry developments, build their professional networks, and improve their credibility as they prepare for the diverse and growing job opportunities currently available in the field of Data Science.
- Association for Computing Machinery (ACM) – https://www.acm.org/
- Institute of Electrical and Electronics Engineers (IEEE) – https://www.ieee.org/
- Data Science Association (DSA) – https://www.datascienceassn.org/
- International Institute of Business Analysis (IIBA) – https://www.iiba.org/
- Association for the Advancement of Artificial Intelligence (AAAI) – https://aaai.org/
- Computing Technology Industry Association (CompTIA) – https://www.comptia.org/
- Society for Industrial and Applied Mathematics (SIAM) – https://www.siam.org/
- International Association for Statistical Computing (IASC) – https://iasc-isi.org/
- Institute for Operations Research and the Management Sciences (INFORMS) – https://www.informs.org/
- American Statistical Association (ASA) – https://www.amstat.org/
Stay Ahead in the Zone of Innovation with AIU
Get Started
Bachelors in Data Science Admission Requirements
Admission requirements for the Bachelor of Data Science program are designed to assess applicants’ suitability in terms of both educational background and motivation to succeed in a career involving analysis and technology. Candidates for the degree are expected to have completed high school/secondary school with a strong foundation in either mathematics (or computer science) and/or a related field. Institutions also review an applicant’s English language proficiency level, personal statement and academic record to determine their qualifications; as well as evaluating related experience within the field, in deciding whether or not to grant admission.
How Can You Apply?
Choosing a Data Science Bachelor degree involves first reviewing how the program and curriculum address your internship experience and what type of job opportunities exist based on your future goals. In addition to completing the online application with accurate personal and academic information, you are required to provide proof of high school graduation/ATOR legal equivalency along with any official academic transcripts by January 1st of the semester you wish to enter.
Further documentation supports proof of identity (e.g., photo ID) upon request for acceptance to the university’s data science program(s) and submission of a Statement of Purpose highlighting both your overall academic and professional experience; if required by an institution, employment history; or updated résumés. Finally, international students must complete the above four documents, as well as demonstrate successful English language proficiency for use for all coursework; the first step towards being accepted into the university’s various data science degree programs is verifying that all documentation supporting acceptance is complete and satisfactory before confirming entry and beginning student orientation.
Financial Support & Scholarships
Financial assistance and need-based scholarships can help make college affordable to people of different backgrounds who qualify for a full-time Bachelor’s degree in Data Science by providing access to several different types of support from schools, including flexible payment plans or ability-to-pay options for all students; instalment payments; merit scholarships; financial assistance based on need; and unique” scholarships specific to certain degree programs. This type of support is intended to alleviate the financial burden associated with attending college, thus fostering student’s success academically without causing them unnecessary financial stress. In addition to assistance through university bursaries, there are also financial and educational advisors available to help explore additional sources of funding, possible employer sponsorships, and/or other types of financial assistance provided by an employer and/or through the financial assistance office of a university.
Overall, this type of assistance provides the student the opportunity to concentrate entirely on his or her studies while also providing them with a strong foundation from which they can grow into the field of Data Science.
What’s the Total Cost for Bachelors in Data Science at AIU?
Atlantic International University (AIU) has developed a low-cost, flexible, and easy to use solution for providing students from many different financial backgrounds to earn a Bachelor of Science in Data Science. AIU has developed customized tuition plans that feature flexible monthly payment schedules to minimize the cost of attending college. Instead of using a “one-size-fits-all” model with fixed tuition prices, AIU designs its tuition structure based on an individual student’s educational goals, transfer credits earned, and financial abilities. By providing an individualized tuition structure, students can pursue a high-quality, career-focused education in Data Science while managing their other personal, employment, and financial obligations more efficiently than would otherwise be possible.
FAQs
What is a Bachelors in Data Science?
A Bachelor’s Degree of Science in Data is an undergraduate degree program that combines Computer Science, Mathematics and Statistics to prepare students with the knowledge necessary to collect, analyze, and interpret Data in such a way as to allow for better informed decision-making. With their training, students will have the technical knowledge and skills to help them gain career opportunities in Technology, Business, Health Care, Finance and numerous other fields through their skills in Programming, Machine Learning, Data Visualization and Artificial Intelligence.
What are the eligibility requirements for a data science bachelor degree?
The student must have completed high school.
How long does it take to complete a Bachelors in Data Science?
3 years approximately.
What subjects are included in a data science undergraduate program?
An undergraduate degree in the area of Data Science is typically made of several different subject areas related to: Programming (Python, R, SQL); Statistics; Probability; Calculus; Linear algebra; Database Management; Machine Learning; Artificial Intelligence; Data Visualization; Big Data; Data mining; Cloud Computing; Business Intelligence.
