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.

Related posts

The Yuan: AI is childlike in its capabilities, so why do so many people fear it?
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Nov 8, 2024 6 min read

Source:

  • The Yuan, Published on October 25th, 2024.

By Zorina Alliata

Artificial intelligence is a classic example of a mismatch between perceptions and reality, as people tend to overlook its positive aspects and fear it far more than what is warranted by its actual capabilities, argues AI strategist and professor Zorina Alliata.

ALEXANDRIA, VIRGINIA – In recent years, artificial intelligence (AI) has grown and developed into something much bigger than most people could have ever expected. Jokes about robots living among humans no longer seem so harmless, and the average person began to develop a new awareness of AI and all its uses. Unfortunately, however – as is often a human tendency – people became hyper-fixated on the negative aspects of AI, often forgetting about all the good it can do. One should therefore take a step back and remember that humanity is still only in the very early stages of developing real intelligence outside of the human brain, and so at this point AI is almost like a small child that humans are raising.

AI is still developing, growing, and adapting, and like any new tech it has its drawbacks. At one point, people had fears and doubts about electricity, calculators, and mobile phones – but now these have become ubiquitous aspects of everyday life, and it is not difficult to imagine a future in which this is the case for AI as well.

The development of AI certainly comes with relevant and real concerns that must be addressed – such as its controversial role in education, the potential job losses it might lead to, and its bias and inaccuracies. For every fear, however, there is also a ray of hope, and that is largely thanks to people and their ingenuity.

Looking at education, many educators around the world are worried about recent developments in AI. The frequently discussed ChatGPT – which is now on its fourth version – is a major red flag for many, causing concerns around plagiarism and creating fears that it will lead to the end of writing as people know it. This is one of the main factors that has increased the pessimistic reporting about AI that one so often sees in the media.

However, when one actually considers ChatGPT in its current state, it is safe to say that these fears are probably overblown. Can ChatGPT really replace the human mind, which is capable of so much that AI cannot replicate? As for educators, instead of assuming that all their students will want to cheat, they should instead consider the options for taking advantage of new tech to enhance the learning experience. Most people now know the tell-tale signs for identifying something that ChatGPT has written. Excessive use of numbered lists, repetitive language and poor comparison skills are just three ways to tell if a piece of writing is legitimate or if a bot is behind it. This author personally encourages the use of AI in the classes I teach. This is because it is better for students to understand what AI can do and how to use it as a tool in their learning instead of avoiding and fearing it, or being discouraged from using it no matter the circumstances.

Educators should therefore reframe the idea of ChatGPT in their minds, have open discussions with students about its uses, and help them understand that it is actually just another tool to help them learn more efficiently – and not a replacement for their own thoughts and words. Such frank discussions help students develop their critical thinking skills and start understanding their own influence on ChatGPT and other AI-powered tools.

By developing one’s understanding of AI’s actual capabilities, one can begin to understand its uses in everyday life. Some would have people believe that this means countless jobs will inevitably become obsolete, but that is not entirely true. Even if AI does replace some jobs, it will still need industry experts to guide it, meaning that entirely new jobs are being created at the same time as some older jobs are disappearing.

Adapting to AI is a new challenge for most industries, and it is certainly daunting at times. The reality, however, is that AI is not here to steal people’s jobs. If anything, it will change the nature of some jobs and may even improve them by making human workers more efficient and productive. If AI is to be a truly useful tool, it will still need humans. One should remember that humans working alongside AI and using it as a tool is key, because in most cases AI cannot do the job of a person by itself.

Is AI biased?

Why should one view AI as a tool and not a replacement? The main reason is because AI itself is still learning, and AI-powered tools such as ChatGPT do not understand bias. As a result, whenever ChatGPT is asked a question it will pull information from anywhere, and so it can easily repeat old biases. AI is learning from previous data, much of which is biased or out of date. Data about home ownership and mortgages, e.g., are often biased because non-white people in the United States could not get a mortgage until after the 1960s. The effect on data due to this lending discrimination is only now being fully understood.

AI is certainly biased at times, but that stems from human bias. Again, this just reinforces the need for humans to be in control of AI. AI is like a young child in that it is still absorbing what is happening around it. People must therefore not fear it, but instead guide it in the right direction.

For AI to be used as a tool, it must be treated as such. If one wanted to build a house, one would not expect one’s tools to be able to do the job alone – and AI must be viewed through a similar lens. By acknowledging this aspect of AI and taking control of humans’ role in its development, the world would be better placed to reap the benefits and quash the fears associated with AI. One should therefore not assume that all the doom and gloom one reads about AI is exactly as it seems. Instead, people should try experimenting with it and learning from it, and maybe soon they will realize that it was the best thing that could have happened to humanity.

Read the full article below:

Read the article
The European Business Review: Adapting to the Digital Age: Teaching Blockchain and Cloud Computing
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Nov 6, 2024 6 min read

Source:


By Lokesh Vij

Lokesh Vij is a Professor of BSc in Modern Computer Science & MSc in Applied Data Science & AI at Open Institute of Technology. With over 20 years of experience in cloud computing infrastructure, cybersecurity and cloud development, Professor Vij is an expert in all things related to data and modern computer science.

In today’s rapidly evolving technological landscape, the fields of blockchain and cloud computing are transforming industries, from finance to healthcare, and creating new opportunities for innovation. Integrating these technologies into education is not merely a trend but a necessity to equip students with the skills they need to thrive in the future workforce. Though both technologies are independently powerful, their potential for innovation and disruption is amplified when combined. This article explores the pressing questions surrounding the inclusion of blockchain and cloud computing in education, providing a comprehensive overview of their significance, benefits, and challenges.

The Technological Edge and Future Outlook

Cloud computing has revolutionized how businesses and individuals’ access and manage data and applications. Benefits like scalability, cost efficiency (including eliminating capital expenditure – CapEx), rapid innovation, and experimentation enable businesses to develop and deploy new applications and services quickly without the constraints of traditional on-premises infrastructure – thanks to managed services where cloud providers manage the operating system, runtime, and middleware, allowing businesses to focus on development and innovation. According to Statista, the cloud computing market is projected to reach a significant size of Euro 250 billion or even higher by 2028 (from Euro 110 billion in 2024), with a substantial Compound Annual Growth Rate (CAGR) of 22.78%. The widespread adoption of cloud computing by businesses of all sizes, coupled with the increasing demand for cloud-based services and applications, fuels the need for cloud computing professionals.

Blockchain, a distributed ledger technology, has paved the way by providing a secure, transparent, and tamper-proof way to record transactions (highly resistant to hacking and fraud). In 2021, European blockchain startups raised $1.5 billion in funding, indicating strong interest and growth potential. Reports suggest the European blockchain market could reach $39 billion by 2026, with a significant CAGR of over 47%. This growth is fueled by increasing adoption in sectors like finance, supply chain, and healthcare.

Addressing the Skills Gap

Reports from the World Economic Forum indicate that 85 million jobs may be displaced by a shift in the division of labor between humans and machines by 2025. However, 97 million new roles may emerge that are more adapted to the new division of labor between humans, machines, and algorithms, many of which will require proficiency in cloud computing and blockchain.

Furthermore, the World Economic Forum predicts that by 2027, 10% of the global GDP will be tokenized and stored on the blockchain. This massive shift means a surge in demand for blockchain professionals across various industries. Consider the implications of 10% of the global GDP being on the blockchain: it translates to a massive need for people who can build, secure, and manage these systems. We’re talking about potentially millions of jobs worldwide.

The European Blockchain Services Infrastructure (EBSI), an EU initiative, aims to deploy cross-border blockchain services across Europe, focusing on areas like digital identity, trusted data sharing, and diploma management. The EU’s MiCA (Crypto-Asset Regulation) regulation, expected to be fully implemented by 2025, will provide a clear legal framework for crypto-assets, fostering innovation and investment in the blockchain space. The projected growth and supportive regulatory environment point to a rising demand for blockchain professionals in Europe. Developing skills related to EBSI and its applications could be highly advantageous, given its potential impact on public sector blockchain adoption. Understanding the MiCA regulation will be crucial for blockchain roles related to crypto-assets and decentralized finance (DeFi).

Furthermore, European businesses are rapidly adopting digital technologies, with cloud computing as a core component of this transformation. GDPR (Data Protection Regulations) and other data protection laws push businesses to adopt secure and compliant cloud solutions. Many European countries invest heavily in cloud infrastructure and promote cloud adoption across various sectors. Artificial intelligence and machine learning will be deeply integrated into cloud platforms, enabling smarter automation, advanced analytics, and more efficient operations. This allows developers to focus on building applications without managing servers, leading to faster development cycles and increased scalability. Processing data closer to the source (like on devices or local servers) will become crucial for applications requiring real-time responses, such as IoT and autonomous vehicles.

The projected growth indicates a strong and continuous demand for blockchain and cloud professionals in Europe and worldwide. As we stand at the “crossroads of infinity,” there is a significant skill shortage, which will likely increase with the rapid adoption of these technologies. A 2023 study by SoftwareOne found that 95% of businesses globally face a cloud skills gap. Specific skills in high demand include cloud security, cloud-native development, and expertise in leading cloud platforms like AWS, Azure, and Google Cloud. The European Commission’s Digital Economy and Society Index (DESI) highlights a need for improved digital skills in areas like blockchain to support the EU’s digital transformation goals. A 2023 report by CasperLabs found that 90% of businesses in the US, UK, and China adopt blockchain, but knowledge gaps and interoperability challenges persist.

The Role of Educational Institutions

This surge in demand necessitates a corresponding increase in qualified individuals who can design, implement, and manage cloud-based and blockchain solutions. Educational institutions have a critical role to play in bridging this widening skills gap and ensuring a pipeline of talent ready to meet the demands of this burgeoning industry.

To effectively prepare the next generation of cloud computing and blockchain experts, educational institutions need to adopt a multi-pronged approach. This includes enhancing curricula with specialized programs, integrating cloud and blockchain concepts into existing courses, and providing hands-on experience with leading technology platforms.

Furthermore, investing in faculty development to ensure they possess up-to-date knowledge and expertise is crucial. Collaboration with industry partners through internships, co-teach programs, joint research projects, and mentorship programs can provide students with invaluable real-world experience and insights.

Beyond formal education, fostering a culture of lifelong learning is essential. Offering continuing education courses, boot camps, and online resources enables professionals to upskill or reskill and stay abreast of the latest advancements in cloud computing. Actively promoting awareness of career paths and opportunities in this field and facilitating connections with potential employers can empower students to thrive in the dynamic and evolving landscape of cloud computing and blockchain technologies.

By taking these steps, educational institutions can effectively prepare the young generation to fill the skills gap and thrive in the rapidly evolving world of cloud computing and blockchain.

Read the full article below:

Read the article