Towards a sustainable future after MBA

MBAs with sustainability focus: Why should you study one?

What is the first thing that comes to mind when you think of sustainability and business management? It may be greenery, pollution, or the conservation of the environment. It is a popular misconception that sustainability MBAs are all about green policies and the environment. Despite its long-established importance, sustainability was given a fresh boost with the COVID-19 pandemic. For our future to be better, sustainability goes far beyond a trend. It will be increasingly important for companies to hire highly-skilled, knowledgeable, and capable leaders. Whether you should pursue a sustainability MBA may still be a question on your mind.

Read on to discover why a sustainability MBA makes sense for those who aspire to succeed in this field. Firstly, let’s see how sustainability matters in business management. 

Why is sustainability important in businesses?

The importance of sustainability can be attributed to a variety of factors. It has become essential for businesses to embrace sustainability management to add more value to their brands and thus grow sustainably. And thus, business administration demands a deep understanding of sustainable approaches. The development of sustainable business practices is a key component of business success. Businesses are looking for employees who understand these practices. 

MBA in sustainability management

What can you do to become a sustainable leader with the knowledge, skills, and experience to succeed? The answer is to pursue an MBA degree in sustainability management. 

Throughout the program, you will learn valuable skills to lead a profitable business and leave a positive footprint on society, the economy, and the environment. Sustainable leaders must be able to solve problems, think critically, innovate, be adaptable, negotiate, and have good emotional intelligence.

An MBA in sustainability management will help you learn how to efficiently, ethically, and environmentally run businesses of all sizes. Students gain valuable insight into sustainable practices, such as how to design and implement a sustainability strategy.

MBAs in sustainability management cover a wide range of topics, including:

  • Policy, laws, and opportunities related to climate change
  • Organaizational sustainability management
  • Risk management
  • Sustainability systems
  • Sustainable marketing
  • Sustainable investments
  • The triple bottom line
  • Environment management

Most sustainability MBAs include at least three courses listed above, although not all. As it turns out, sustainability MBAs are primarily MBA programs that just happen to offer a sustainability focus. 

Next, you might wonder whether you can obtain an executive MBA in sustainability. The answer is “no.” In order to receive an Executive MBA, you must be at least five years into your management career.

Sustainability-centred career opportunities in business management

Now let’s see what the common sustainability-centered jobs that could be chosen after completing your MBA in Sustainability:

  • Consultant in sustainability
  • Supply chain and logistics roles
  • Roles of Compliance Directors
  • Sustainability-focused management roles
  • Roles in engineering
  • Roles in Human Resources
  • Director – Sustainability Management

To conclude

A sustainable leadership MBA prepares professionals to lead sustainable businesses. Choosing a business degree that emphasises sustainability will not only help you stand out to employers but will also help you make a positive contribution to the environment as well. 

If you are extremely passionate about environmental stewardship, opting for an MBA in Energy and Sustainability at Exeed College would be the right choice. 

AI for Renewables: Ways to Optimize Wind, Solar and Energy Storage

The Application of AI to Renewable Energy Source Optimisation

In the future, wind, solar, biomass, geothermal, and hydropower are expected to dominate energy production. Many industrial leaders are experimenting with technology that can be used to leverage renewable sources of energy. Prediction-based technologies like Artificial Intelligence (AI) help enhance renewable energy system performance beneficially.

AI’s impact on renewable energy supply: how can it help?

AI can benefit the renewable energy sector in a variety of ways. Let’s see it in detail.

Weather forecasting

The reliability of renewable energy is highly influenced by factors like sunlight, wind, and water. These natural resources are highly dependent on the weather. The unpredictability of weather forecasting is a great challenge to optimising renewable energy sources. Here comes the significance of new-age technologies like AI and machine learning. AI can be useful in making faster and more accurate predictions. When compared to the traditional methods of forecasting, AI-based weather forecasting is a reliable approach for solar or wind forecasting.

Enhance plant efficiency

Monitoring renewable energy plant performance can be greatly facilitated by the use of artificial intelligence. An accurate forecast can be obtained with data-driven intervention, allowing power supply and demand to be more accurately predicted. With AI, observations and insights can now be gathered in real-time. By analyzing energy collection data and analyzing energy consumption data, AI-powered systems will provide insights into energy use. In this way, the overall efficiency of plants can be improved. 

Grid management

To move away from legacy infrastructure-intensive models, a grid-based AI system will be necessary. Interconnecting the energy grid with devices and sensors allows for collecting a great deal of data. As a result of this system, energy suppliers will be able to intelligently adjust supply and demand based on market conditions.Intelligent storage units can also match the flow of supplies.

Predictive maintenance

The equipment employs sensors that provide algorithms with rich datasets for predicting potential issues. Optimising problems on an industrial scale can be made possible using AI, for example, preventing wind turbine failures before they occur. It helps establish the timeframe required for regular maintenance.

Improved farm design

Designing clean energy farms can be assisted by algorithms powered by artificial intelligence. The task of designing them is usually very complex, requiring a lot of resources and longer time frames. This process is simplified and less time-consuming with AI algorithms.

Safety improvements

In addition to maintaining renewable resources’ intermittency, it is possible to improve safety, efficiency, and reliability with AI. It helps understand energy consumption patterns and identifies energy leaks. Furthermore, AI and machine learning can assist in identifying threats and preventing cyberattacks.

Conclusion

Increasing demands for renewable energy are expected in the coming years. AI-based methodologies in the renewable industry sector help improve weather prediction, asset maintenance, and overall efficiency. Moreover, using AI and machine learning can help us analyse data and make predictions of power demands. 

In short, optimising intermittent renewable resources with the help of AI techniques is the future. An MBA in Energy in Sustainability could be an excellent place to start if you’re thinking about a career in energy and sustainability.