By 2025 the global data volume will approach 175 zettabytes. Store that information on DVDs and the stack would reach the moon 23 times over. That sheer volume of data means that professionals are required to make sense of the information.
Sectors like finance, healthcare, manufacturing, and telecoms use vast amounts of data and present attractive career opportunities. Choosing the best degree for data science can open up new doors for those interested in playing a leading role in the lucrative field of data science.
Understanding Data Science and Its Educational Pathways
Data science has always been important. Businesses have been leveraging the power of data ever since the term was invented, but the data landscape is changing.
Today, data science combines math and statistics, advanced analytics, specialized programming, Artificial Intelligence (AI), and machine learning to provide actionable strategic insights to organizations.
Aspirant professionals interested in playing a data-centric role in the success of an organization need appropriate, respected, and relevant qualifications, and finding the best degree for data science is the first step on the road to success.
That road offers many routes toward success in the individual’s chosen field.
Some data science career trajectories include:
- Data scientist
- Data analyst
- Business analyst
- Business intelligence analyst
Mid-Level
- Data architect
- Data engineer
- Senior business analyst
Senior-Level
- Lead data scientist
- Director of data science
- Vice president of data science
- Chief information officer
- Chief operations officer
What to Look For in a Data Science Degree
A firm foundation is essential for a rewarding career in data science, and that foundation must include a recognized undergraduate degree. The best degree for data science will be obtained from an accredited and well-respected education institution. It will provide foundational skills in areas such as data analysis, machine learning, big data, and statistical analysis (among others).
However, the structure of the coursework is important. An undergraduate degree in data science should:
- Provide a solid understanding of principles and theory
- Offer practical experience based on real-world immersion
- Give opportunities for specialization
In addition, a world-class program will emphasize teamwork, innovation and effective communication and offer the chance to make industry connections.
Best Degree for Data Science: Which One Should You Choose?
Navigating the sometimes murky waters of higher education can be a daunting task, especially when it comes to choosing the best degree for data science, but here are some well-respected choices.
1. M.S. In Data Analytics – Franklin University
This online qualification will equip the professional with the statistical skills required to conduct descriptive and predictive analytics. It also provides the programming skillset necessary to create and apply computer algorithms and the tools and platforms to visualize and mine big data. Students can expect to complete the coursework in around 19 months.
2. Bachelor of Science in Industrial Systems Data Analytics – Lakeland University
The strength of this qualification from Lakeland is its focus on both programming and data management. The flexibility of the on-campus/online program makes it a very attractive option for those who already hold a 9-5 job. This program provides students with essential skills in programming, statistics, data analysis, and visualization.
3. Bachelor of Science in Data Analytics – Southern New Hampshire University
Although this is an online course, the experience of using advanced analytical tools to solve real-world challenges will provide potential employers with peace of mind. Also on offer is a focus on project management, which is essential given the complexities of data-driven projects. Focus areas include data analytics, computer science, and computer programming. The course should take four years to complete, although online delivery allows students to graduate more quickly
4. Bachelor of Science in Computer Science – Full Sail University
This program focuses on data structure and system design. The online and on-campus study option means that students can finish the coursework in less than 80 weeks. Focusing on core competencies such as computer science, computer programming, and data science, it is the perfect qualification for those entering the potentially rewarding world of data science.
5. Bachelor of Science in Data Analytics – Lynn University
The 100% online undergraduate qualification in data analytics can be completed in four years or less. Coursework includes business analytics, advanced business techniques, data programming, and data mining. With a focus on real-world solutions, this is a program that will pay dividends in increased employability in a highly competitive environment.
OPIT’s Bachelor’s and Master’s Programs in Data Science
OPIT’s Bachelor’s (BSc) in Modern Computer Science and Master’s Degrees (MSc) in Applied Digital Business and Applied Data Science & Artificial Intelligence have been designed with input from industry leaders and feature real-world application of the skills gained through study. This approach results in qualifications that are extremely attractive to potential employers.
The BSC in Modern Computer Science
The coursework of the six-term Bachelor’s in Modern Computer Science is delivered entirely using state-of-the-art platforms designed for ease of use and flexibility.
Both potential employers, academics, and industry professionals have had a hand in developing this degree. It aims to provide graduates with theoretical and practical 360-degree foundational skills, including such coursework as programming, software development, database development and functionality. Students will also dive into more complex topics like cloud computing, cybersecurity, data science, and the ever-more important subject of Artificial Intelligence.
The MSC in Applied Digital Business and Applied Data Science & Artificial Intelligence
The 12–18 month Master’s Degree (MSc) in Applied Digital Business from OPIT supplies students with the knowledge and skills to tackle real-world challenges in technology, digitalization, and business. Coursework includes strategically orientated subjects such as digital transformation, digital finance, entrepreneurship, and digital product management. Students will also explore real-world applications with a capstone project and dissertation based on a real-world case study.
The 12-18 month Master’s in Applied Data Science & Artificial Intelligence is at the cutting edge of data science specialization. Online delivery of coursework means that students have incredible flexibility and can complete coursework at their own pace, a boon for busy professionals. Like other OPIT Master’s courses, this program emphasizes foundational principles and courses with content applicable to real-world challenges that can be analyzed using data science and AI. Coursework includes business principles, data science, machine learning, and Artificial Intelligence.
Why Consider OPIT for Your Data Science Education?
OPIT’s affordable, fully accredited, and internationally recognized degrees leverage knowledge from leading academics and industry leaders. This ensures the most relevant course content and resources, all delivered via cutting-edge online platforms. The institute’s flexible scheduling, the blend of theoretical and practical knowledge, and hands-on experience deliver an educational experience unlike any other available today.
The Future of Data Science and the Role of Education
The amount of data that has to be gathered, stored and analyzed by businesses is growing exponentially. This has fueled increasing demand for skilled and qualified data scientists. Employers are looking for the best of the best, and one of the time-proven ways to stand out from the crowd is by obtaining a recognized and respected qualification – the best degree for data science.
Of course, the learning doesn’t stop at one degree. Data science pioneers know the importance of lifelong learning and staying abreast of the latest methodologies, trends, and advancements.
A Data Science Degree – Making the Right Choice
Choosing the best degree for data science can be a challenge, but that challenge becomes manageable when one whittles down the choices. Make sure that the education provider you choose has impeccable credentials and a good reputation. Both of these are based on the delivery of exceptional course content that focuses on both theory and real-world experience.
Employers want graduates who can hit the ground running. Choosing a degree from OPIT means that the employee can start adding real value to organizational strategy from Day 1, and that is what employers want.
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From the same author
Read the articleSource:
- EFMD Global, Published on July 12th, 2024.
By Stephanie Mullins
Many people love to read the stories of successful business school graduates to see what they’ve achieved using the lessons, insights and connections from the programmes they’ve studied. We speak to one alumnus, Riccardo Ocleppo, who studied at top business schools including London Business School (LBS) and INSEAD, about the education institution called OPIT which he created after business school.
Please introduce yourself and your career to date.
I am the founder of OPIT — Open Institute of Technology, a fully accredited Higher Education Institution (HEI) under the European Qualification Framework (EQF) by the MFHEA Authority. OPIT also partners with WES (World Education Services), a trusted non-profit providing verified education credential assessments (ECA) in the US and Canada for foreign degrees and certificates.
Prior to founding OPIT, I established Docsity, a global community boasting 15 million registered university students worldwide and partnerships with over 250 Universities and Business Schools. My academic background includes an MSc in Electronics from Politecnico di Torino and an MSc in Management from London Business School.
Why did you decide to create OPIT Open Institute of Technology?
Higher education has a profound impact on people’s futures. Through quality higher education, people can aspire to a better and more fulfilling future.
The mission behind OPIT is to democratise access to high-quality higher education in the fields that will be in high demand in the coming decades: Computer Science, Artificial Intelligence, Data Science, Cybersecurity, and Digital Innovation.
Since launching my first company in the education field, I’ve engaged with countless students, partnered with hundreds of universities, and collaborated with professors and companies. Through these interactions, I’ve observed a gap between traditional university curricula and the skills demanded by today’s job market, particularly in Computer Science and Technology.
I founded OPIT to bridge this gap by modernising education, making it affordable, and enhancing the digital learning experience. By collaborating with international professors and forging solid relationships with global companies, we are creating a dynamic online community and developing high-quality digital learning content. This approach ensures our students benefit from a flexible, cutting-edge, and stress-free learning environment.
Why do you think an education in tech is relevant in today’s business landscape?
As depicted by the World Economic Forum’s “Future of Jobs 2023” report, the demand for skilled tech professionals remains (and will remain) robust across industries, driven by the critical role of advanced technologies in business success.
Today’s companies require individuals who can innovate and execute complex solutions. A degree in fields like computer science, cybersecurity, data science, digital business or AI equips graduates with essential skills to thrive in this dynamic industry.
According to the International Monetary Fund (IMF), the global tech talent shortage will exceed 85 million workers by 2030. The Korn Ferry Institute warns that this gap could result in hundreds of billions in lost revenue across the US, Europe, and Asia.
To address this challenge, OPIT aims to democratise access to technology education. Our competency-based and applied approach, coupled with a flexible online learning experience, empowers students to progress at their own pace, demonstrating their skills as they advance.
Read the full article below:
Read the articleSource:
- The European, Summer 2024 Edition, Page 24
With careful planning, ethical considerations, and ensuring human oversight is maintained, AI can have huge market research benefits, says Lorenzo Livi of the Open Institute of Technology.
By Lorenzo Livi
To market well, you need to get something interesting in front of those who are interested. That takes a lot of thinking, a lot of work, and a whole bunch of research. But what if the bulk of that thinking, work and research could be done for you? What would that mean for marketing as an industry, and market research specifically?
With the recent explosion of AI onto the world stage, big changes are coming in the marketing industry. But will AI be able to do market research as successfully? Simply, the answer is yes. A big, fat, resounding yes. In fact, AI has the potential to revolutionise market research.
Ensuring that people have a clear understanding of what exactly AI is is crucial, given its seismic effect on our world. Common questions that even occur amongst people at the forefront of marketing, such as, “Who invented AI?” or, “Where is the main AI system located?” highlight a widespread misunderstanding about the nature of AI.
As for the notion of a central “main thing” running AI, it’s essential to clarify that AI systems exist in various forms and locations. AI algorithms and models can run on individual computers, servers, or even specialized hardware designed for AI processing, commonly referred to as AI chips. These systems can be distributed across multiple locations, including data centres, cloud platforms, and edge devices. They can also be used anywhere, so long as you have a compatible device and an internet connection.
While the concept of AI may seem abstract or mysterious to some, it’s important to approach it with a clear understanding of its principles and applications. By promoting education and awareness about AI, we can dispel misconceptions and facilitate meaningful conversations about its role in society.
Read the full article below:
- The European, Pages 24 to 26.
-
Go to all authors
Related posts
Source:
- EFMD Global, Published on July 12th, 2024.
By Stephanie Mullins
Many people love to read the stories of successful business school graduates to see what they’ve achieved using the lessons, insights and connections from the programmes they’ve studied. We speak to one alumnus, Riccardo Ocleppo, who studied at top business schools including London Business School (LBS) and INSEAD, about the education institution called OPIT which he created after business school.
Please introduce yourself and your career to date.
I am the founder of OPIT — Open Institute of Technology, a fully accredited Higher Education Institution (HEI) under the European Qualification Framework (EQF) by the MFHEA Authority. OPIT also partners with WES (World Education Services), a trusted non-profit providing verified education credential assessments (ECA) in the US and Canada for foreign degrees and certificates.
Prior to founding OPIT, I established Docsity, a global community boasting 15 million registered university students worldwide and partnerships with over 250 Universities and Business Schools. My academic background includes an MSc in Electronics from Politecnico di Torino and an MSc in Management from London Business School.
Why did you decide to create OPIT Open Institute of Technology?
Higher education has a profound impact on people’s futures. Through quality higher education, people can aspire to a better and more fulfilling future.
The mission behind OPIT is to democratise access to high-quality higher education in the fields that will be in high demand in the coming decades: Computer Science, Artificial Intelligence, Data Science, Cybersecurity, and Digital Innovation.
Since launching my first company in the education field, I’ve engaged with countless students, partnered with hundreds of universities, and collaborated with professors and companies. Through these interactions, I’ve observed a gap between traditional university curricula and the skills demanded by today’s job market, particularly in Computer Science and Technology.
I founded OPIT to bridge this gap by modernising education, making it affordable, and enhancing the digital learning experience. By collaborating with international professors and forging solid relationships with global companies, we are creating a dynamic online community and developing high-quality digital learning content. This approach ensures our students benefit from a flexible, cutting-edge, and stress-free learning environment.
Why do you think an education in tech is relevant in today’s business landscape?
As depicted by the World Economic Forum’s “Future of Jobs 2023” report, the demand for skilled tech professionals remains (and will remain) robust across industries, driven by the critical role of advanced technologies in business success.
Today’s companies require individuals who can innovate and execute complex solutions. A degree in fields like computer science, cybersecurity, data science, digital business or AI equips graduates with essential skills to thrive in this dynamic industry.
According to the International Monetary Fund (IMF), the global tech talent shortage will exceed 85 million workers by 2030. The Korn Ferry Institute warns that this gap could result in hundreds of billions in lost revenue across the US, Europe, and Asia.
To address this challenge, OPIT aims to democratise access to technology education. Our competency-based and applied approach, coupled with a flexible online learning experience, empowers students to progress at their own pace, demonstrating their skills as they advance.
Read the full article below:
Source:
- The European, Summer 2024 Edition, Page 24
With careful planning, ethical considerations, and ensuring human oversight is maintained, AI can have huge market research benefits, says Lorenzo Livi of the Open Institute of Technology.
By Lorenzo Livi
To market well, you need to get something interesting in front of those who are interested. That takes a lot of thinking, a lot of work, and a whole bunch of research. But what if the bulk of that thinking, work and research could be done for you? What would that mean for marketing as an industry, and market research specifically?
With the recent explosion of AI onto the world stage, big changes are coming in the marketing industry. But will AI be able to do market research as successfully? Simply, the answer is yes. A big, fat, resounding yes. In fact, AI has the potential to revolutionise market research.
Ensuring that people have a clear understanding of what exactly AI is is crucial, given its seismic effect on our world. Common questions that even occur amongst people at the forefront of marketing, such as, “Who invented AI?” or, “Where is the main AI system located?” highlight a widespread misunderstanding about the nature of AI.
As for the notion of a central “main thing” running AI, it’s essential to clarify that AI systems exist in various forms and locations. AI algorithms and models can run on individual computers, servers, or even specialized hardware designed for AI processing, commonly referred to as AI chips. These systems can be distributed across multiple locations, including data centres, cloud platforms, and edge devices. They can also be used anywhere, so long as you have a compatible device and an internet connection.
While the concept of AI may seem abstract or mysterious to some, it’s important to approach it with a clear understanding of its principles and applications. By promoting education and awareness about AI, we can dispel misconceptions and facilitate meaningful conversations about its role in society.
Read the full article below:
- The European, Pages 24 to 26.
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