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MBA education evolves with the changing needs of a competitive economic environment, and over the past decade, international management and the need to understand management within a global context has grown significantly in importance.


Top business schools have seen the necessity of creating international MBA classroom environments that reflect the ever increasing international working environment. But most of the students are still concerned about which MBA program to take up and from which school. So, we have accumulated a list of 5 MBA schools which have the best MBA programs for international students to choose from:


1. Harvard Business School (HBS) is an obvious candidate on the list because it is the best in trade for an MBA in Corporate Social Responsibility, Entrepreneurship, Leadership, Operations Management and Strategy. It is one of the schools that provide the best return on investment for MBA programs graduates. HBS is not a final destination, but an important transformational experience that prepares students for the opportunities that lie ahead in the Corporate world.


2. The Kellogg School of Management is another obvious front-runner. Its innovative portfolio of MBA programs help the students to find the ideal balance among professional, educational and personal goals. Wherever you are in your career – and your life – there’s a Kellogg MBA program that will help you grow professionally and personally. The most critical key to success in the business world is working with other people, and Kellogg integrates that into every facet of its curriculum. It boasts of amazing diversity with almost 40% international students and this only adds in its favor.


3. The Wharton School is a yet another pioneer in producing business prodigies. The current American president, Donald Trump and the business magnate, Warren Buffett, both are Wharton alumnae. Wharton MBAs are in high demand because they create immediate and sustainable value for corporate, nonprofit, and government organizations around the world. The best part about Wharton is than its MBA Career Management team helps 650+ companies make offers to Wharton students.


4. Stanford School of Business has made a lot of good name in the past few decades. Stanford is home to many Nobel Laureates and it excels not just at business but at almost all other fields. Nike, Trader Joe and Chuck E. Cheese are just a few examples of what came out of this school's alumni.


5. Lastly, if you do not wish to go to the United States or the UK for your MBA degree there is another top notch institute with a stellar MBA program in Singapore. INSEAD consistently finds a place among the world’s top five MBA programs by Financial Times, Bloomberg Businessweek, and Forbes. Business case studies prepared by INSEAD professors are the second-most widely used in the world, after those authored by Harvard Business School professors. The ROI of its 10 month program is exceptionally high!  Another unique feature is the Leadership Development Programme (LDP) which includes a programme-long schedule of group coaching, 360-degree assessments and team activities, designed to develop a leadership style that is authentic to you, thus accelerating your career progress even further.


Joining these MBA schools will not only exceed the chances of you getting better employment opportunities, but also give a greater ROI. So, if you are looking forward to study in the best MBA schools all over the world, then get in touch with us for personalised guidance.

I first realised that Gaming is a career when a Gaming company approached me for an offsite training event. I remember that I asked them a couple of times exactly what they did and what type of people they employed. Okay, it may have passed as the genuine need a trainer has to understand her client.

But when I put the phone down, I couldn’t quite wrap my head around it. I searched for the internet for other Gaming companies in India – and abroad - and Google spilt over with information. And I knew then, quite clearly, that the world had changed. People today can really do what they love – look, they have so many jobs in Gaming, I thought!

That was two years ago. Since then I have researched the field, met professional gamers and unearthed what the job roles are.

Artists, programmers, writers, players...

Learn How to Get a Job in the Video Game Industry

Have an idea for a new game? Careers in Game Design

Game designers create the concept and structure of a game – the setting, story line, gameplay, characters, levels, scoring…

Lead Designers

are highly experienced gaming professionals who have worked with varied gaming teams and on multiple games. They take on the most basic part of the process i.e. World Design. This means creating the backdrop, theme and storyline of the game.

Lead designers also manage the work of other designers on the team such as

System designers

create the rules of the game, the scoring systems and the basic mathematical logic making sure that it is consistent and workable. 

Level designers

create the layers of the gaming by defining levels, adding complexity in its feature and storyline, defining missions and puzzles, refining the logic with which it works and working out the increasing difficulty at each level.

User interface designers

design the menus, displays, instructions and ease of understanding and handling the game for the users. They work out how and when to offer information and guidance, what critical instructions to hold back for later levels and how to provide/conceal information.

Best courses in Game Design

Michigan State University, Game Design and Development Specialization

Become a Game Developer/Designer : Complete Master Series

Build a full Role Playing Game (RPG) in Unity 5.5 & 2017. 

Good with Art? Art careers in Gaming

Each game presents the potential to create a whole world. Environments, layouts, buildings, furniture, vehicles, characters, costumes, expressions and movements.

Lead Artists

manage teams as well as create the first-level concept art – the basic idea of the game and how it looks. How realistic is it, what are the elements of style being used, what is the basic color scheme, lighting and mood of the game. Concept artists will also lay out the overarching look of characters, objects and the whole world in which the game is played.

3D Modellers 

use software to build characters and other life forms like animals and trees, objects and environments such as furniture and vehicles. They need to work in careful balance between their creative ideas, the game theme, the need for create a rich visual environment that makes players lose themselves in this game and the technological constraints of the game as shared by programmers and animators.

2D/Texture Artists

refine the work of the team and make it as life-like as possible. This means creating and applies “textures” to walls, floors, environments, characters, and other objects. This demands expertise in lighting, perspective, materials and visual effects.

Game Writers

write everything from the intro text, the instructions, the dialogue during the game and the script of each level and mission. This could be as simple as the exclamations of surprise, victory, defeat, frustration and joy or as detailed as instruction manuals, background story or level descriptions. 

Animators

use computer animation software to create multiple motion controls for each of these characters and objects and build a bank of actions, behaviours and movements that can be used across levels and plots in the game.

Audio engineers

create the soundtrack for a game, including music, sound effects, character voices and spoken instructions. This involves recording music and voice with live artistes, using music production and editing programs.  

Digital Organic Sculpture with ZBrush

Creating 3D environments in Blender

CalArts, Graphic Design Specialization

Learn 3D Modelling - The Complete Blender Creator Course  

Good with Computers? Programming careers in gaming

Lead programmers

manage the whole programming team that puts together the software and code that makes the game work as planned.

Game Engine programmers

create the base engine of the game that governs the principles of motion and graphics – how does gravity work in the game? How does water flow? How do the objects and characters move? They apply concepts from Physics such as gravity, laws of motion and vectors to create a predictable environment that game designers, artists and animators can use to create a believable simulated game environment.

Artificial Intelligence Programmers

are soon becoming a specialised breed who creates ‘intelligent’ characters that can respond to new and unplanned or new situations. They program the game to learn from gameplay as more and more users play the game. They apply AI techniques to building strategies, learning enemy strategy and finding new paths in the game.

Gameplay Programmers

is a vast term that encompasses the role of writing code to make the game work as planned and optimising the user interface for the player to make the game easy to understand and play across platforms such as games consoles, PCs, handhelds, mobiles.

Network programmers

work on multi-player games which are becoming the new norm. They build and manage system software that allows players to collaborate or compete play across across cities and countries.  

Learn to Code by Making Games - Complete C# Unity Developer

Unity Game Development Academy: Make 2D & 3D Games

The Unreal Engine Developer Course - Learn C++ & Make Games

Unreal Engine 4: How to Develop Your First Two Games

Master in Programming of Videojuegos with Unity and C # 2017

University of Toronto, Canada, Launch Your Career in iOS. Start building iOS apps in Swift in just four courses 

University of Washington, Machine Learning Specialization  

Do you just love playing games?

One must mention the intrepid warriors of this world who have made gaming their core profession. Successful gamers choose a platform (computers, Xbox, Playstations and so on) and often a genre of games to play. Gamers could focus on entertaining or competing

Gaming Media Professionals

record and broadcast their gameplay on YouTube and other video sites. They discover new games in their genre and demo the game, its best features and fun ways to play with friends. They build a following of amateur and professional gamers by engaging in conversations on social media, leading trends and discussions on gaming forums.

Gaming Sport Professionals

compete in regional and international tournaments in the games they specialise in and aim to be ranked in these. Game tournaments often have prize money to compete for. Gaming professionals practise their game, learn new strategies, watch gaming channels, read up on the game – online and offline – and play with regular game schedules much as professional sportspeople in offline sports!

Game Testers

play games to test for flaws and enhancements and provide inputs to UI designers, gameplay and AI programmers and animators.

Your Guide to Becoming a Professional Gamer

Planning to study abroad and looking for the cheapest universities with quality education? Well, then we have conducted a research and listed below, the list of universities which are low on your pocket and high on delivering quality education - 

1. Germany has been growing exponentially in popularity amongst international students. German universities like the Humbolt university of berlin, Technical University Munich and the Freie University provide undergraduate and Ph. D. level courses for free! The only expense is the living cost which is around US$10000. No wonder Germany is known as the "land of ideas"!

2. Next on the list are Nordic universities. One would expect European universities to be nowhere areound a list of affordable universities. But, Nordic universities too provide education to all students for free. Universities like, Karolinska Institute for medicine and the world renowned Univesity of Helsinki are two of the many amazing universities here. Living costs are very expensive and can go around US$12-14k.

3. How can India be forgotten on a list about affordable college programs? With premier research institutes like IISc, IITs, Delhi University and ISI that produced gems like Sundar Pichai, Aung San Suu Kyi and Mira Nair. Tution fee and living costs can only go as high as US$ 10000 in some cases. If you're enrolled at a government funded program like at ISI then you can expect your yearly costs to be under US$ 1-2k.

4. A surprising entry to the list is Taiwan's National Taiwan University. It is reputed around the globe for the quality of it's programs. The country offers more than 100 courses taught in english at more than 40 universities. Taiwan is also popular for offering a good quality of life at nominal price. Sum of all costs in an year comes around US$ 5-6k depending upon the course.

5. However improbable it may sound. Next are some affordable US based universities - Alcorn State University, Minot State University, University of Texas of the Permian Basin and West Texas A&M Univerity are a few colleges with reputes programs which are light on the pocket! Tution fee at these universities range from US$ 6000-9000. Add living costs and the total comes around US$ 20k an year, which, to be fair, is not a lot for the States.

 

 

Data is growing at rapid speed and is of great value to every organization. Why? Data can help to improve the product, services. Can help the organization to grow from bankruptcy or to avoid bankruptcy. In fact, today’s global leaders drive data analytics as the new secret weapon for competitive advantage. World’s fastest car use data analytics to improve their performance. This has been named as the sexiest job of the century. Now you must have got the importance of data in today’s world. As rightly said, the world’s most valuable resource is no longer oil, but data. With this, new terms are emerging and it is important to understand the meaning and difference between them to build the career in this field.   

You must have listened to these terms nowadays a lot …

Are you thinking to make the career in analytics?? And wondering where to head on... Questions popping out??  what is data science, How it is different from data mining, what is machine learning… want to know the difference between all... So many questions when moving for Analytics...and the courses related to build the career.

We will take an example to understand all these terms in an easy manner. Cricket… got excited, will try to understand analytics through this sport. How players perform on cricket field can be used to determine how they are going to transact in coming matches, all can be attained from the data collected from their past performances.

Let’s  move on with one by one term: 

For players, what data can be collected to have some findings? It can be how many runs made, which over player got out, How many four or six made, on which position player came to bat etc.. And after collecting we can find some pattern. Let’s consider Virat Kohli as an example. Super excited now. If I collect the data for Virat for all the matches played, I can find a pattern in his batting style.

“Data mining is about collecting data, finding and extracting new information. Pattern Prediction based on past data”

Courses for data mining an initial level to start with are:

University of Illinois at Urbana Champaign,  Data Mining Specialization,

Data Mining Course

I collected all the data for Virat, what I can do now is that I am going to apply some algorithm to find some correlation between the runs made and the position he comes to bat. I can apply same to all the parameters or variables I have with me.

“Data Analytics is about using the algorithm to derive the insights and to find meaningful correlation between collected data”

And the Courses for data analytics where you can find are:

Data Analytics Course,

Course on analytics,

Learning Python for Data Analysis and Visualization,

After getting correlation I should analyze it so that I can decide some pattern or I can give some prediction about Virat, some decisions to be made. Sounds cool right… 

“Data Analysis is about describing, interpreting, evaluating, representing data for decision-making”

Courses related to that are:

Duke University, Data Analysis course,

Data Analysis for Beginners

University of Michigan, Applied Data Science with Python Specialization

Now I’m done with Virat, now whose next Dhoni, again excited. I will use all the algorithms, methods to analyze, interpret the data collected for Dhoni and now this time I don’t want any human interaction. This sounds really good, everything to be done by computer only… right?? 

“Machine learning processes the data by using algorithm and techniques to discover patterns that can be later used to analyze new data without human intervention”

Machine learning courses you can find here :

Python Machine Learning

Comprehensive data mining and machine learning course

Cricket is not just about Dhoni, Virat or Yuvraj. So many teams and thousands of players… OMG enormous amount of data because data with any player, that stored intentionally or unintentionally over the years, all the digital, papers, whether or not categorized data is Big Data. Essentially no data is useless. Now how to analyze terabyte and petabyte data, definitely not possible to analyze with a regular database.

“Big data is Huge amount of data that is analyzed for results that can be used for predictions, which cannot be discovered using normal spreadsheets and regular tools of database management”

 bigdata tools

They need special analysis tools like Hadoop, pig, hive etc. so that all the data can be analyzed at one go.

Functional Programming in Scala Specialization,

I should just not define myself to some limited pattern or some constraint by applying correlation, I should think from all the different angles. Correct right, I will use all the algorithms, tools to analyze the data and to predict again.

“Data Science is about extracting useful insights from the data, solve complex problems by using various tools, algorithms, and machine learning principles by looking at data differently”

Data scientist job is like whatever you would do may or may not be seen by people outside your company. Your functions would be helping the companies engineer things better.

For this very important part, you can find courses here:

Data Science with Python,

Data Science Specialization,

Data Science at Scale Specialization,

These careers go in this level:

A Master’s program is not just a continuation of an undergraduate program. You are going to specialize in a particular subject field; hence it’s a process of acculturation. While an undergraduate degree provides you a range of potential jobs, a Master’s degree will put you on a specific track. So, it can certainly increase your job prospects in a niche domain. Within the Master’s program, the dissertation or thesis component is extremely important. It is what you have to show for your time in a master’s degree program; especially, if you don’t have any work experience. In this post, we will look into how to choose a Master's Dissertation (or Thesis) topic.

 

How to Choose a Master's Dissertation (Thesis) Topic

 

How to Choose a Master's Dissertation (Thesis) Topic

 

The thesis or project tell the employer what you can bring to the table. More often than not, you will be asked to describe your dissertation project during your job interview. Even in my case, my dissertation project played a vital role to land up to my first job.

So, how to choose a good dissertation topic? To be honest, there is no bad or wrong Master’s project per se. However, a strategic project selection could influence your career trajectory in many ways. A Master’s dissertation might not provide you the opportunity to conduct groundbreaking research. However, a Masters degree is an ideal opportunity to establish your domain expertise and showcase your technical and soft skills. Employers take a very close look at the dissertation topic, and so you should be considerate enough before choosing your project.

 

5 Quick Tips for Choosing a Master’s Dissertation or Thesis Project

 

Pick a topic that can be done quickly. It’s not a Ph.D. thesis; so you’re not going to have 4 – 5 years to do your research. Every topic expands as you start writing, so pick something concise. A Master’s thesis is a competency test and not a professional standard.

Evaluate the job market. Have a look what technical skills are being asked by the employers in your domain. You have to realize that though grades are important, employers hardly care about the grades; especially when you have done a Master’s degree. If your research is good enough and your grades aren’t too low, then you have nothing to worry about. It would be wise if you spend your time getting some quality work experience along with a Grade B, rather than earning grade A with no work experience.

You need to be passionate about the project. If you are not excited about the topic, then you might struggle to finish it off, and even fail in the viva. So, pick something that you like. After all, you will need to sell it when you interview for jobs or Ph.D. programs. When you demonstrate excitement about your dissertation thesis, you basically demonstrate your engagement and passion about the field of study. This will help during your interviews.

Ask around and take feedback. Talk to your potential supervisor, personal tutor, and course coordinator. During your thesis, you will work with a supervisor or adviser. Besides, you will also have a personal tutor and course co-ordinator around you. If you have problems coming up with a thesis topic, sit down with your advisor, personal tutor, and course director and talk about your interests. It could be also a good idea to visit the Careers Services, and speak to the career advisers and/or counselors. Their feedback will surely provide you some good topics that are best for you.

Identify your career trajectory. Choose a topic that creates a trajectory. You don’t need to necessarily take it, but you can keep your options open. It is not practical for everyone to find a topic that they will enjoy for 3 – 6 years. Besides, not everyone wants to do a Ph.D. However, it won’t hurt to have the option open. Even if you wish to opt for an MBA after few years of job, this can again help you with your MBA applications and admission process.

 

How I Chose My MSc Dissertation (Thesis) Topic

 

How to Choose a Master's Dissertation (Thesis) Topic

 

Now, I would take a walk down the memory lane to give you a rough idea about how I chose my dissertation topic. I attended Aston University in the UK for my MSc Pharmacology program (2008 - 2009). The dissertation was unarguably the major component of my Master’s program. My dissertation was not only carrying the maximum number of credit points, but it was also bound to influence the direction of my career after graduation. I knew that 3 – 4 months is not a decent time period for making any ground-breaking discovery. After all, it was my MSc dissertation and not a Ph.D. thesis. However, I needed something intellectually challenging. So, I was more focused on re-establishing the previous findings and hypothesis. My primary objective was to learn what questions to ask and how to conduct a research study. Secondly, I was keen on learning more about molecular pharmacology, and the cross-talk between neuroscience and cardiovascular medicine. Besides, I also needed to focus on learning some useful lab techniques that would make be employable. So, I was really thoughtful and strategic on choosing my dissertation topic. After considering three four options, I decided to do my dissertation on investigating “The Role of RAMP1 in Binding Adrenomedullin at the CGRP Receptor”.

 

How to Choose a Master's Dissertation (Thesis) Topic

 

The CGRP project fascinated me from the very beginning. Calcitonin gene-related peptide (CGRP) is a 37 amino acid vasoactive neuro-peptide, derived from the alternative splicing of the primary transcript of the calcitonin gene (Amara et al., 1982). CGRP is released from the sensory fibers originating in the trigeminal ganglia (Goadsby & Edvinsson, 1993) or adventitial-medial border of arteries supplying the heart (Gulbenkian et al., 1993). CGRP has been reported to be widely found in the central and peripheral nervous systems, hypothalamus and cardiovascular system of humans and particularly in sensory nerve fibres. CGRP is a potent vasodilator with significant effects on arterioles and capillaries. Apart from significant roles in the nervous system, CGRP also controls cardiovascular functions. CGRP has also got major implications in migraine, nociception, bone formation, glucose uptake, blood pressure regulation, broncho-protection, neurogenic inflammation and tissue repair. But, the exact mechanism by which CGRP exerts its action was poorly understood. My project was supposed to be on understanding the receptor binding and the mechanism of action. Thus, I became very excited with the project background.

The fact that really made me excited was that the CGRP receptor, a family B GPCR, is a heterodimer between a conventional seven-TM (transmembrane) helix GPCR-like protein [known as calcitonin receptor-like receptor (CLR)] and a single TM protein, receptor activity-modifying protein 1 (RAMP-1). The RAMP-1 protein is required for CGRP (ligand) binding to the CLR receptor, and also facilitates the CLR expression at the cell surface. When CLR co-expresses with RAMP-2 or RAMP-3, it functions as the adrenomedullin (AM) receptor.

 How to Choose a Master's Dissertation (Thesis) Topic

Image: Heterodimerisation of CLR and RAMP. (a) Molecular constitution of CGRP and AM receptors. (b) Glycosylation and trafficking stages of CGRP receptor. [Source: Nature Reviews Neuroscience]

 

Surprisingly, the CGRP receptor (RAMP1-CLR) was also found to bind AM with 10-fold less affinity than CGRP apart from binding CGRP. In 1999, it was proposed that the glycosylation level was likely to an important role in ligand selectivity. Later in 2001, it was suggested that RAMPs alter the glycosylation status of the receptor-complex (CGRP receptor). There were many other studies in the past that tried to solve this exact puzzle. But, the exact mechanism was ambiguous. So, the primary objective of my dissertation was to understand the role of RAMP-1 in binding AM at the CGRP receptor.

My supervisor had advised me to probe the residues 78 – 89 in the extracellular domain of RAMP1. He further explained that the project will involve chimera studies, cell culture, transfection, gel electrophoresis, cAMP assay, radioimmunoassay, handling of radio-nucleotides and basic exposure to molecular cloning. After understanding the project background and knowing about the potential lab techniques, I was sure that this would be the ideal dissertation topic for me.

 How to Choose a Master's Dissertation (Thesis) Topic

 

You might also like to read the following articles:

How Study Abroad Experience Shaped Up My Career Development and Progression

Challenges That I Faced During My Study Abroad Experience at Aston University in the UK

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